Prof. Eric L. Miller
Assistant Professor at Tufts Univ
SPIE Involvement:
Conference Program Committee | Conference Chair | Author | Instructor
Publications (55)

PROCEEDINGS ARTICLE | May 1, 2017
Proc. SPIE. 10187, Anomaly Detection and Imaging with X-Rays (ADIX) II
KEYWORDS: Data modeling, Scattering, Sensors, Signal attenuation, Calibration, Photons, X-rays, Computing systems, Tomography, Reconstruction algorithms, Compton scattering, Scatter measurement

PROCEEDINGS ARTICLE | May 12, 2016
Proc. SPIE. 9847, Anomaly Detection and Imaging with X-Rays (ADIX)
KEYWORDS: Photodetectors, Photon counting, X-ray computed tomography, Imaging systems, Sensors, Signal attenuation, Metals, X-rays, Aluminum, Actinium

PROCEEDINGS ARTICLE | March 5, 2015
Proc. SPIE. 9319, Optical Tomography and Spectroscopy of Tissue XI
KEYWORDS: Mathematical modeling, Data modeling, Sensors, Image restoration, 3D modeling, Chromophores, Inverse problems, Optical tomography, Systems modeling, Absorption

PROCEEDINGS ARTICLE | May 23, 2013
Proc. SPIE. 8746, Algorithms for Synthetic Aperture Radar Imagery XX
KEYWORDS: X-ray computed tomography, Data modeling, Image processing, X-rays, Image restoration, Computing systems, Image acquisition, Computed tomography, Chemical elements, Absorption

PROCEEDINGS ARTICLE | May 18, 2012
Proc. SPIE. 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI
KEYWORDS: Image fusion, Backscatter, Image segmentation, Image processing, X-rays, Feature extraction, Lung, Image classification, Brain-machine interfaces, X-ray imaging

PROCEEDINGS ARTICLE | April 1, 2011
Proc. SPIE. 7984, Health Monitoring of Structural and Biological Systems 2011
KEYWORDS: Finite-difference time-domain method, Data modeling, Scattering, Fourier transforms, Nondestructive evaluation, Receivers, Wave propagation, Civil engineering, Systems modeling, Correlation function

Showing 5 of 55 publications
Conference Committee Involvement (9)
Computational Imaging XI
5 February 2013 | Burlingame, California, United States
Computational Imaging X
23 January 2012 | Burlingame, California, United States
Computational Imaging VIII
18 January 2010 | San Jose, California, United States
Computational Imaging VII
19 January 2009 | San Jose, California, United States
Computational Imaging VI
28 January 2008 | San Jose, California, United States
Showing 5 of 9 published special sections
Course Instructor
SC175: Statistical Signal and Image Processing for Demining
This course presents a unified approach to advanced signal and image processing methods to the problem of buried landmine detection and classification. Deterministic and stochastic processing techniques will be reviewed in depth. Physically based signal models are developed. Examples concentrate on the application of estimation and decision theoretic methods based on these sensor models to demining. Other methods, including fuzzy logic and neural nets are discussed.
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