Prof. Khan M. Iftekharuddin Profile

Prof. Khan M. Iftekharuddin

SDL Author at Old Dominion Univ

SPIE Involvement:

Publications (90)

PROCEEDINGS ARTICLE | September 7, 2018

Recent experience with computational modeling for medical image analysis

Proc. SPIE. 10751, Optics and Photonics for Information Processing XII

KEYWORDS: Image fusion, Computational modeling, Tumors, Tissues, Magnetic resonance imaging, Image segmentation, Feature extraction, Medical imaging, Fractal analysis, Brain

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PROCEEDINGS ARTICLE | February 27, 2018

Deep learning and texture-based semantic label fusion for brain tumor segmentation

Proc. SPIE. 10575, Medical Imaging 2018: Computer-Aided Diagnosis

KEYWORDS: Convolutional neural networks, Data modeling, Tumors, Tissues, Magnetic resonance imaging, Image segmentation, Feature extraction, Image classification, Binary data, Brain

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SPIE Conference Volume | October 3, 2017

Optics and Photonics for Information Processing XI

PROCEEDINGS ARTICLE | September 12, 2017

An improved silhouette for human pose estimation

Proc. SPIE. 10395, Optics and Photonics for Information Processing XI

KEYWORDS: Image processing algorithms and systems, Edge detection, Detection and tracking algorithms, Sensors, Image segmentation, Image processing, Hough transforms, Image analysis, Binary data, 3D image processing

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PROCEEDINGS ARTICLE | August 24, 2017

Aerosol detection using lidar-based atmospheric profiling

Proc. SPIE. 10395, Optics and Photonics for Information Processing XI

KEYWORDS: Detection and tracking algorithms, Backscatter, Scattering, LIDAR, Aerosols, Light scattering, Pollution, Profiling, Atmospheric sensing, Atmospheric particles

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PROCEEDINGS ARTICLE | May 1, 2017

Contemporary deep recurrent learning for recognition

Proc. SPIE. 10203, Pattern Recognition and Tracking XXVIII

KEYWORDS: Facial recognition systems, Detection and tracking algorithms, Image processing, Pattern recognition, Robotics, Feature extraction, Computer vision technology, Machine vision, Object recognition, Neural networks, Optical character recognition, Performance modeling, Network architectures, Neurons, Brain

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PROCEEDINGS ARTICLE | May 1, 2017

Comparison of sub-scaled to full-scaled aircrafts in simulation environment for air traffic management

Proc. SPIE. 10203, Pattern Recognition and Tracking XXVIII

KEYWORDS: Safety, Aerospace engineering, Pattern recognition, Computer simulations, Simulink, Modeling and simulation, Computer engineering, Research management, Device simulation, Current controlled current source

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PROCEEDINGS ARTICLE | March 3, 2017

Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI

Proc. SPIE. 10134, Medical Imaging 2017: Computer-Aided Diagnosis

KEYWORDS: Mathematical modeling, Tumor growth modeling, Data modeling, Tumors, Tissues, Magnetic resonance imaging, Image segmentation, Diffusion, Fractal analysis, Brain

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SPIE Conference Volume | December 23, 2016

Optics and Photonics for Information Processing X

PROCEEDINGS ARTICLE | September 12, 2016

Aerosol detection methods in lidar-based atmospheric profiling

Proc. SPIE. 9970, Optics and Photonics for Information Processing X

KEYWORDS: Backscatter, Scattering, LIDAR, Signal attenuation, Aerosols, Clouds, Signal processing, Mass attenuation coefficient, Atmospheric sensing, Atmospheric particles

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PROCEEDINGS ARTICLE | May 13, 2016

Gender classification of running subjects using full-body kinematics

Proc. SPIE. 9841, Geospatial Informatics, Fusion, and Motion Video Analytics VI

KEYWORDS: Principal component analysis, Error analysis, Kinematics, Feature extraction, Machine learning, Image classification, Biological research, Analytical research, Motion analysis, Gait analysis

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PROCEEDINGS ARTICLE | March 24, 2016

Glioma grading using cell nuclei morphologic features in digital pathology images

Proc. SPIE. 9785, Medical Imaging 2016: Computer-Aided Diagnosis

KEYWORDS: Neck, Cancer, Tumors, Tissues, Image segmentation, Image processing, Pathology, Feature extraction, Head, Absorbance, Image classification, Neuroimaging, Brain

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SPIE Journal Paper | November 30, 2015

Sparse coding based dense feature representation model for hyperspectral image classification

Oguslu, Ender , Zhou, Guoqing , Zheng, Zezhong , Iftekharuddin, Khan , Li, Jiang

JEI Vol. 24 Issue 06

KEYWORDS: Associative arrays, Image classification, Feature selection, Computer programming, Hyperspectral imaging, Digital filtering, Data modeling, Image fusion, Composites, Remote sensing

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SPIE Conference Volume | October 5, 2015

Optics and Photonics for Information Processing IX

PROCEEDINGS ARTICLE | September 9, 2015

Cellular recurrent deep network for image registration

Proc. SPIE. 9598, Optics and Photonics for Information Processing IX

KEYWORDS: Image processing, Image restoration, Image registration, Artificial neural networks, Neural networks, Rigid registration, Image storage, Network architectures, Evolutionary algorithms, Neurons

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PROCEEDINGS ARTICLE | March 20, 2015

Multi-fractal detrended texture feature for brain tumor classification

Proc. SPIE. 9414, Medical Imaging 2015: Computer-Aided Diagnosis

KEYWORDS: Tumors, Magnetic resonance imaging, Image segmentation, Spectroscopy, Magnetism, Imaging spectroscopy, Feature extraction, Image classification, Neuroimaging, Brain

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SPIE Conference Volume | October 27, 2014

Optics and Photonics for Information Processing VIII

PROCEEDINGS ARTICLE | September 19, 2014

Improvements to vehicular traffic segmentation and classification for emissions estimation using networked traffic surveillance cameras

Proc. SPIE. 9216, Optics and Photonics for Information Processing VIII

KEYWORDS: Detection and tracking algorithms, Cameras, Image segmentation, Video, Feature extraction, Video surveillance, Surveillance, Video compression, Intelligence systems, Systems modeling

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PROCEEDINGS ARTICLE | June 19, 2014

Full-motion video analysis for improved gender classification

Proc. SPIE. 9089, Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II

KEYWORDS: Principal component analysis, Human subjects, Sensors, Video, Computing systems, Kinematics, Feature extraction, Data centers, Motion analysis, Gait analysis

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PROCEEDINGS ARTICLE | June 13, 2014

Novel metrics for object discrimination in overhead real and synthetic color images

Proc. SPIE. 9088, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX

KEYWORDS: Statistical analysis, Image compression, Wavelets, Image analysis, Buildings, Surveillance, Computer vision technology, Machine vision, Shape analysis, Information security

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PROCEEDINGS ARTICLE | June 5, 2014

Radial curve-based classification and localization of features for 3D facial expressions

Proc. SPIE. 9117, Three-Dimensional Imaging, Visualization, and Display 2014

KEYWORDS: Nose, Facial recognition systems, 3D acquisition, Visualization, Feature extraction, Shape analysis, Feature selection, Human-computer interaction, Analytical research, 3D image processing

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PROCEEDINGS ARTICLE | March 18, 2014

Multi-fractal texture features for brain tumor and edema segmentation

Proc. SPIE. 9035, Medical Imaging 2014: Computer-Aided Diagnosis

KEYWORDS: Image fusion, Data modeling, Tumors, Tissues, Magnetic resonance imaging, Image segmentation, Feature extraction, Solids, Neuroimaging, Brain

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SPIE Journal Paper | January 24, 2014

Special Section Guest Editorial: Optical and Hybrid Imaging and Processing for Big Data Problems

Iftekharuddin, Khan , Awwal, Abdul , Young, S. Susan , Abdulla, Ghaleb

OE Vol. 53 Issue 01

KEYWORDS: Analytical research, Image processing, Optical imaging, Hybrid optics, Optical engineering, Data processing, Sensors, Computer engineering, Data acquisition, Computer generated holography

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SPIE Conference Volume | October 18, 2013

Optics and Photonics for Information Processing VII

PROCEEDINGS ARTICLE | September 26, 2013

Highway traffic segmentation using super-resolution and Gaussian mixture model

Proc. SPIE. 8855, Optics and Photonics for Information Processing VII

KEYWORDS: Super resolution, Cameras, Image segmentation, Image processing, Video, Video surveillance, Video compression, Image filtering, Filtering (signal processing), Lawrencium

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SPIE Journal Paper | September 18, 2013

Shoreline extraction from light detection and ranging digital elevation model data and aerial images

Yousef, Amr , Iftekharuddin, Khan , Karim, Mohammad

OE Vol. 53 Issue 01

KEYWORDS: LIDAR, Image segmentation, Data modeling, Coastal modeling, Hough transforms, Optical engineering, RGB color model, Data conversion, Image fusion, Monte Carlo methods

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PROCEEDINGS ARTICLE | May 31, 2013

Toward aerosols LiDAR scattering plots clustering and analysis

Proc. SPIE. 8718, Advanced Environmental, Chemical, and Biological Sensing Technologies X

KEYWORDS: Signal to noise ratio, Phase modulation, Scattering, LIDAR, Aerosols, Light scattering, Computing systems, Receivers, Atmospheric particles, Fuzzy logic

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PROCEEDINGS ARTICLE | May 17, 2013

Recognition of 3D facial expression from posed data

Proc. SPIE. 8738, Three-Dimensional Imaging, Visualization, and Display 2013

KEYWORDS: Facial recognition systems, Sensors, Databases, Stereoscopy, Clouds, 3D modeling, Feature extraction, Head, Image classification, 3D image processing

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PROCEEDINGS ARTICLE | April 29, 2013

A new morphology algorithm for shoreline extraction from DEM data

Proc. SPIE. 8748, Optical Pattern Recognition XXIV

KEYWORDS: Coastal modeling, Data modeling, Visualization, LIDAR, Image segmentation, Photography, Hough transforms, Clouds, Bridges, Binary data

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PROCEEDINGS ARTICLE | October 15, 2012

Intensity-based registration and fusion of thermal and visual facial-images

Proc. SPIE. 8498, Optics and Photonics for Information Processing VI

KEYWORDS: Thermography, Image fusion, Image visualization, Infrared imaging, Detection and tracking algorithms, Visualization, Databases, Magnetic resonance imaging, Image segmentation, Image registration

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SPIE Conference Volume | October 11, 2012

Optics and Photonics for Information Processing VI

PROCEEDINGS ARTICLE | May 7, 2012

Sparse coding for hyperspectral images using random dictionary and soft thresholding

Proc. SPIE. 8399, Visual Information Processing XXI

KEYWORDS: Hyperspectral imaging, Principal component analysis, Independent component analysis, Image compression, Data modeling, Computer programming, Feature extraction, Associative arrays, Image classification, Algorithm development

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SPIE Press Book | March 21, 2012

Field Guide to Image Processing

Iftekharuddin, Khan , Awwal, Abdul

PROCEEDINGS ARTICLE | February 23, 2012

Multiclass feature selection for improved pediatric brain tumor segmentation

Proc. SPIE. 8315, Medical Imaging 2012: Computer-Aided Diagnosis

KEYWORDS: Tumors, Tissues, Magnetic resonance imaging, Image segmentation, Feature extraction, Distance measurement, Image classification, Feature selection, Expectation maximization algorithms, Brain

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PROCEEDINGS ARTICLE | September 13, 2011

Autonomous wireless radar sensor mote integrating a Doppler radar into a sensor mote and its application in surveillance and target material classification

Proc. SPIE. 8134, Optics and Photonics for Information Processing V

KEYWORDS: Radar, Mathematical modeling, Infrared sensors, Doppler effect, Sensors, Reflectivity, Sensor networks, Signal processing, System integration, Radar sensor technology

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SPIE Conference Volume | September 8, 2011

Optics and Photonics for Information Processing V

PROCEEDINGS ARTICLE | March 16, 2011

Feature-based glaucomatous progression prediction using scanning laser polarimetry (SLP) data

Proc. SPIE. 7963, Medical Imaging 2011: Computer-Aided Diagnosis

KEYWORDS: Eye, Statistical analysis, Nerve, Visualization, Retina, Wavelets, Polarimetry, Discrete wavelet transforms, Feature extraction, Fractal analysis

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PROCEEDINGS ARTICLE | March 16, 2011

Identifying glaucoma with multi-fractal features from optical coherence tomography (OCT)

Proc. SPIE. 7963, Medical Imaging 2011: Computer-Aided Diagnosis

KEYWORDS: Tumors, Nerve, Visualization, Tissues, Optical coherence tomography, Diagnostics, Polarimetry, Fractal analysis, Visual optics, Brain

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PROCEEDINGS ARTICLE | September 8, 2010

Image registration under affine transformation using cellular simultaneous recurrent networks

Proc. SPIE. 7797, Optics and Photonics for Information Processing IV

KEYWORDS: Image processing, Image registration, Neural networks, Associative arrays, Intelligence systems, Computer architecture, Binary data, Network architectures, Neurons, Brain

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SPIE Conference Volume | August 20, 2010

Optics and Photonics for Information Processing IV

PROCEEDINGS ARTICLE | February 24, 2010

Efficacy of fractal analysis in identifying glaucomatous damage

Proc. SPIE. 7627, Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment

KEYWORDS: Eye, Principal component analysis, Nerve, Retina, Medical imaging, Distance measurement, Fractal analysis, Neuroimaging, Data conversion, Brain

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PROCEEDINGS ARTICLE | September 1, 2009

Binary image registration using cellular simultaneous recurrent networks

Proc. SPIE. 7442, Optics and Photonics for Information Processing III

KEYWORDS: Edge detection, Image processing, Image restoration, Image registration, Artificial neural networks, Neural networks, Intelligence systems, Computer architecture, Binary data, Network architectures

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SPIE Conference Volume | August 21, 2009

Optics and Photonics for Information Processing III

PROCEEDINGS ARTICLE | March 4, 2009

Efficacy of texture, shape, and intensity features for robust posterior-fossa tumor segmentation in MRI

Proc. SPIE. 7260, Medical Imaging 2009: Computer-Aided Diagnosis

KEYWORDS: Tumors, Tissues, Magnetic resonance imaging, Image segmentation, Feature extraction, Medical imaging, Fractal analysis, Feature selection, Expectation maximization algorithms, Brain

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PROCEEDINGS ARTICLE | September 3, 2008

Single camera-based object detection and tracking for mobile robots

Proc. SPIE. 7072, Optics and Photonics for Information Processing II

KEYWORDS: Cameras, Image processing, Video, Robotics, Distance measurement, Mobile robots, Optical flow, Corner detection, Robotic systems, Robot vision

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SPIE Conference Volume | August 28, 2008

Optics and Photonics for Information Processing II

PROCEEDINGS ARTICLE | March 27, 2008

Multifractal modeling, segmentation, prediction, and statistical validation of posterior fossa tumors

Proc. SPIE. 6915, Medical Imaging 2008: Computer-Aided Diagnosis

KEYWORDS: Mathematical modeling, Tumors, Tissues, Magnetic resonance imaging, Image segmentation, Wavelets, Fractal analysis, Neuroimaging, Motion models, Brain

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PROCEEDINGS ARTICLE | September 20, 2007

A biologically inspired neural network model to transformation invariant object recognition

Proc. SPIE. 6695, Optics and Photonics for Information Processing

KEYWORDS: Detection and tracking algorithms, Visualization, Databases, Image resolution, Computer programming, Computer simulations, Object recognition, Neural networks, Target recognition, Stochastic processes

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Transformation invariant image recognition has been an active research area due to its widespread applications in a variety of fields such as military operations, robotics, medical practices, geographic scene analysis, and many others. The primary goal for this research is detection of objects in the presence of image transformations such as changes in resolution, rotation, translation, scale and occlusion. We investigate a biologically-inspired neural network (NN) model for such transformation-invariant object recognition. In a classical training-testing setup for NN, the performance is largely dependent on the range of transformation or orientation involved in training. However, an even more serious dilemma is that there may not be enough training data available for successful learning or even no training data at all. To alleviate this problem, a biologically inspired reinforcement learning (RL) approach is proposed. In this paper, the RL approach is explored for object recognition with different types of transformations such as changes in scale, size, resolution and rotation. The RL is implemented in an adaptive critic design (ACD) framework, which approximates the neuro-dynamic programming of an action network and a critic network, respectively. Two ACD algorithms such as Heuristic Dynamic Programming (HDP) and Dual Heuristic dynamic Programming (DHP) are investigated to obtain transformation invariant object recognition. The two learning algorithms are evaluated statistically using simulated transformations in images as well as with a large-scale UMIST face database with pose variations. In the face database authentication case, the 90° out-of-plane rotation of faces from 20 different subjects in the UMIST database is used. Our simulations show promising results for both designs for transformation-invariant object recognition and authentication of faces. Comparing the two algorithms, DHP outperforms HDP in learning capability, as DHP takes fewer steps to perform a successful recognition task in general. Further, the residual critic error in DHP is generally smaller than that of HDP, and DHP achieves a 100% success rate more frequently than HDP for individual objects/subjects. On the other hand, HDP is more robust than the DHP as far as success rate across the database is concerned when applied in a stochastic and uncertain environment, and the computational time involved in DHP is more.

SPIE Conference Volume | September 12, 2007

Optics and Photonics for Information Processing

PROCEEDINGS ARTICLE | September 8, 2006

A reinforcement learning approach in rotated image recognition and its convergence analysis

Proc. SPIE. 6310, Photonic Devices and Algorithms for Computing VIII

KEYWORDS: Detection and tracking algorithms, Error analysis, Numerical simulations, Control systems, Computer programming, Object recognition, Neural networks, Target recognition, Automatic target recognition, Dynamical systems

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PROCEEDINGS ARTICLE | September 8, 2006

Visualizing differentially expressed genes

Proc. SPIE. 6310, Photonic Devices and Algorithms for Computing VIII

KEYWORDS: Statistical analysis, Data modeling, Tumors, Visualization, Tissues, Solids, Analytical research, Statistical methods, Statistical modeling, Prototyping

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SPIE Conference Volume | August 29, 2006

Photonic Devices and Algorithms for Computing VIII

PROCEEDINGS ARTICLE | September 15, 2005

Natural image classification in nonlinear network model

Proc. SPIE. 5907, Photonic Devices and Algorithms for Computing VII

KEYWORDS: Mathematical modeling, Data modeling, Sensors, Computer simulations, Feature extraction, Distance measurement, Neural networks, Image classification, Systems modeling, Olfactory system

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SPIE Conference Volume | August 30, 2005

Photonic Devices and Algorithms for Computing VII

SPIE Journal Paper | June 1, 2005

Analytical derivation of distortion constraints and their verification in a learning vector quantization-based target recognition system

Iftekharuddin, Khan , Razzaque, Mohammad

OE Vol. 44 Issue 06

KEYWORDS: Automatic target recognition, Synthetic aperture radar, Detection and tracking algorithms, Target recognition, Image filtering, Distortion, Feature extraction, Image processing, Optical engineering, Fourier transforms

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PROCEEDINGS ARTICLE | May 19, 2005

Techniques in biologically inspired computational vision

Proc. SPIE. 5781, Optics and Photonics in Global Homeland Security

KEYWORDS: Visual process modeling, Visualization, Sensors, Image processing, Retina, Image resolution, Computer vision technology, Data processing, Image filtering, Visual cortex

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PROCEEDINGS ARTICLE | April 29, 2005

Automatic brain tumor detection in MRI: methodology and statistical validation

Proc. SPIE. 5747, Medical Imaging 2005: Image Processing

KEYWORDS: Tumors, Tissues, Magnetic resonance imaging, Image segmentation, Wavelets, Feature extraction, Fractal analysis, Neural networks, Neuroimaging, Brain

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PROCEEDINGS ARTICLE | November 4, 2004

Probabilistic detection and tracking of IR targets

Proc. SPIE. 5556, Photonic Devices and Algorithms for Computing VI

KEYWORDS: Target detection, Infrared search and track, Image processing algorithms and systems, Infrared imaging, Detection and tracking algorithms, Image segmentation, Image processing, Image classification, Automatic target recognition, Binary data

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SPIE Conference Volume | November 4, 2004

Photonic Devices and Algorithms for Computing VI

PROCEEDINGS ARTICLE | December 12, 2003

Distorted IR target detection and tracking using composite filters

Proc. SPIE. 5201, Photonic Devices and Algorithms for Computing V

KEYWORDS: Target detection, Infrared imaging, Optical filters, Detection and tracking algorithms, Composites, Image filtering, Automatic target recognition, Electronic filtering, Nonlinear filtering, Phase only filters

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PROCEEDINGS ARTICLE | December 12, 2003

Fringe-adjusted JTC-based target detection and tracking using subframes from a video sequence

Proc. SPIE. 5201, Photonic Devices and Algorithms for Computing V

KEYWORDS: Target detection, Detection and tracking algorithms, Image segmentation, Video, Fourier transforms, Image filtering, Image enhancement, Joint transforms, Target recognition, Optical correlators

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SPIE Conference Volume | December 12, 2003

Photonic Devices and Algorithms for Computing V

PROCEEDINGS ARTICLE | November 13, 2003

Multiresolution-fractal feature extraction and tumor detection: analytical model and implementation

Proc. SPIE. 5207, Wavelets: Applications in Signal and Image Processing X

KEYWORDS: Tumors, Tissues, Image processing, Wavelets, Medical imaging, Fractal analysis, Computed tomography, Motion models, Time-frequency analysis, Brain

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SPIE Journal Paper | December 1, 2002

Harmonic wavelet joint transform correlator: analysis, algorithm, and application to image de-noising

Iftekharuddin, Khan

OE Vol. 41 Issue 12

KEYWORDS: Wavelets, Synthetic aperture radar, Image processing, Optical correlators, Speckle, Fourier transforms, Denoising, Device simulation, Image filtering, Discrete wavelet transforms

PROCEEDINGS ARTICLE | November 15, 2002

Hilbert-wavelet transform for recognition of image rotation

Proc. SPIE. 4788, Photonic Devices and Algorithms for Computing IV

KEYWORDS: Infrared imaging, Optical filters, Wavelet transforms, Detection and tracking algorithms, Image processing, Wavelets, Fourier transforms, Distortion, Linear filtering, Image registration

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PROCEEDINGS ARTICLE | November 15, 2002

New metric for 3D optical pattern recognition system

Proc. SPIE. 4788, Photonic Devices and Algorithms for Computing IV

KEYWORDS: 3D acquisition, Databases, Pattern recognition, Computing systems, 3D modeling, Spatial light modulators, Target recognition, Automatic target recognition, Optical pattern recognition, Phase only filters

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SPIE Conference Volume | November 15, 2002

Photonic Devices and Algorithms for Computing IV

PROCEEDINGS ARTICLE | March 6, 2002

Correlators for rank order shape similarity measurement

Proc. SPIE. 4734, Optical Pattern Recognition XIII

KEYWORDS: Sensors, Image segmentation, Fourier transforms, Electronic filtering, Computer engineering, Optical pattern recognition, Optical correlators, Tolerancing, Phase only filters, Correlation function

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PROCEEDINGS ARTICLE | December 6, 2001

Intraclass classification of tumor in brain MR images

Proc. SPIE. 4470, Photonic Devices and Algorithms for Computing III

KEYWORDS: Edge detection, Detection and tracking algorithms, Tumors, Magnetic resonance imaging, Feature extraction, Gaussian filters, Image classification, Neuroimaging, Algorithm development, Brain

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SPIE Conference Volume | December 6, 2001

Photonic Devices and Algorithms for Computing III

SPIE Journal Paper | November 1, 2001

A signed digit adder using electronically addressable spatial light modulator

Iftekharuddin, Khan , Awwal, Abdul Ahad , Salam, Mohammad

OE Vol. 40 Issue 11

KEYWORDS: Spatial light modulators, Binary data, Charge-coupled devices, Content addressable memory, Very large scale integration, Signal processing, Logic, CCD image sensors, Optical computing, Symbolic substitution

SPIE Journal Paper | November 1, 2001

Optical Computing Systems, Materials, and Devices

Awwal, Abdul A. , Iftekharuddin, Khan

OE Vol. 40 Issue 11

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PROCEEDINGS ARTICLE | July 30, 2001

Optical interconnection networks for switching

Proc. SPIE. 4532, Active and Passive Optical Components for WDM Communication

KEYWORDS: Beam splitters, Holograms, Holography, Switching, Waveguides, Crystals, Spatial light modulators, Free space optics, Data communications, Optical interconnects

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PROCEEDINGS ARTICLE | November 29, 2000

Constraints in distortion-invariant target recognition system simulation

Proc. SPIE. 4114, Photonic Devices and Algorithms for Computing II

KEYWORDS: Detection and tracking algorithms, Image processing, Fourier transforms, Computer simulations, Feature extraction, Image filtering, Neural networks, Target recognition, Automatic target recognition, Neurons

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SPIE Conference Volume | November 29, 2000

Photonic Devices and Algorithms for Computing II

SPIE Journal Paper | May 1, 2000

Orthogonal wavelets in nonlinear speckle reduction for improved target recognition

Iftekharuddin, Khan

OE Vol. 39 Issue 05

KEYWORDS: Wavelets, Synthetic aperture radar, Speckle, Image processing, Fourier transforms, Discrete wavelet transforms, Automatic target recognition, Denoising, Image compression, Optical correlators

PROCEEDINGS ARTICLE | March 31, 2000

Characterization of harmonic wavelet joint transform (HWJT) in image de-noising

Proc. SPIE. 4043, Optical Pattern Recognition XI

KEYWORDS: Wavelet transforms, Synthetic aperture radar, Image processing, Wavelets, Fourier transforms, Linear filtering, Transform theory, Signal processing, Joint transforms, Optical correlators

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SPIE Conference Volume | October 1, 1999

Photonic Devices and Algorithms for Computing

PROCEEDINGS ARTICLE | October 1, 1999

Detection of targets varying in fine details, rotation, and translation

Proc. SPIE. 3805, Photonic Devices and Algorithms for Computing

KEYWORDS: Target detection, Optical filters, Detection and tracking algorithms, Image processing, Fourier transforms, Feature extraction, Quantization, Neural networks, Target recognition, Automatic target recognition

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SPIE Journal Paper | March 1, 1999

Characterization of intensity-coded multivalued logic circuit implementation

Iftekharuddin, Khan , Awwal, Abdul Ahad , Chowdhury, Arshad

OE Vol. 38 Issue 03

KEYWORDS: Logic, Signal to noise ratio, Light emitting diodes, Binary data, Logic devices, Photomasks, Optical engineering, Computing systems, Sensors, Computer science

SPIE Journal Paper | March 1, 1999

Graphical approach for multiple values logic minimization

Awwal, Abdul Ahad , Iftekharuddin, Khan

OE Vol. 38 Issue 03

KEYWORDS: Logic, Binary data, Content addressable memory, Computer programming, Digital electronics, Visualization, Photomasks, Free space optics, Optical engineering, Light emitting diodes

SPIE Journal Paper | March 1, 1999

Guest Editorial: Special Section on Computer Arithmetic for Optical Computing

Awwal, Abdul , Iftekharuddin, Khan

OE Vol. 38 Issue 03

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SPIE Journal Paper | March 1, 1998

Multiobject detection of targets with fine details, scale and translation variations

Diab, S. , Karim, Mohammad , Iftekharuddin, Khan

OE Vol. 37 Issue 03

KEYWORDS: Target detection, Detection and tracking algorithms, Neural networks, Neurons, Automatic target recognition, Target recognition, Feature extraction, Image processing, Optical engineering, Algorithm development

PROCEEDINGS ARTICLE | June 23, 1997

Scale- and translation-invariant detection of targets varying in fine details

Proc. SPIE. 3069, Automatic Target Recognition VII

KEYWORDS: Target detection, Detection and tracking algorithms, Image processing, Quantization, Neural networks, Target recognition, Automatic target recognition, Algorithm development, Evolutionary algorithms, Neurons

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SPIE Journal Paper | July 1, 1996

Wavelet preprocessed amplitude-modulated phase-only filter for recognition applications

Iftekharuddin, Khan , Tuthill, Theresa , Karim, Mohammad , Jemili, Kanaan

OE Vol. 35 Issue 07

SPIE Journal Paper | April 1, 1996

Rotation-invariant target recognition using an amplitude-coupled minimum-average correlation-energy filter

Iftekharuddin, Khan , Ahmed, Farid , Karim, Mohammad

OE Vol. 35 Issue 04

KEYWORDS: Detection and tracking algorithms, Image filtering, Synthetic aperture radar, Optical filters, Target recognition, Phase only filters, Automatic target recognition, Optical correlators, Signal to noise ratio, Composites

PROCEEDINGS ARTICLE | March 22, 1996

Wavelet packet-based nonlinear speckle reduction in optical synthetic aperture radar image analysis

Proc. SPIE. 2762, Wavelet Applications III

KEYWORDS: Radar, Signal to noise ratio, Wavelet transforms, Detection and tracking algorithms, Speckle, Synthetic aperture radar, Image processing, Wavelets, Image analysis, Antennas

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SPIE Journal Paper | November 1, 1995

Feature-based neural wavelet optical character recognition system

Iftekharuddin, Khan , Schechinger, Terry , Jemili, Kanaan , Karim, Mohammad

OE Vol. 34 Issue 11

KEYWORDS: Wavelets, Feature extraction, Optical character recognition, Optical filters, Image filtering, Optical correlators, Discrete wavelet transforms, Wavelet transforms, Databases, Binary data

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PROCEEDINGS ARTICLE | April 6, 1995

Wavelet preprocessed amplitude-modulated phase-only filter for recognition applications

Proc. SPIE. 2491, Wavelet Applications II

KEYWORDS: Signal to noise ratio, Synthetic aperture radar, Image processing, Wavelets, Fourier transforms, Interference (communication), Discrete wavelet transforms, Optical correlators, Phase only filters, Bandpass filters

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SPIE Journal Paper | November 1, 1993

Acquisition by staring focal-plane arrays: pixel geometry effects

Iftekharuddin, Khan , Karim, Mohammad

OE Vol. 32 Issue 11

KEYWORDS: Signal detection, Modulation transfer functions, Staring arrays, Sensors, Detector arrays, Interference (communication), Point spread functions, Fourier transforms, Spatial frequencies, Detection and tracking algorithms

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Showing 5 of 90 publications

Conference Committee Involvement (31)

Optics and Photonics for Information Processing XIII

11 August 2019 | San Diego, California, United States

Pattern Recognition and Tracking XXX

14 April 2019 | Baltimore, Maryland, United States

Computer-Aided Diagnosis

16 February 2019 | San Diego, California, United States

Optics and Photonics for Information Processing XII

19 August 2018 | San Diego, California, United States

Pattern Recognition and Tracking XXIX

18 April 2018 | Orlando, Florida, United States

Showing 5 of 31 published special sections

Course Instructor

SC661: Image Processing and Applications

This course presents both fundamental and advanced concepts useful in different aspects of optical, digital, biomedical and multimedia image processing. It is aimed at people interested in learning practical applications of image processing techniques for solving biomedical image modeling and recognition, video image segmentation, feature extraction, statistical modeling and automatic target recognition (ATR) problems. This course will review fundamentals of image processing and recent progress in image segmentation, modeling and feature extraction. Qualitative insight into the mathematical operations performed by image processing functions will be provided.

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