Dr. Claudio A. Delrieux Profile

Dr. Claudio A. Delrieux

Associate Professor at Univ Nacional del Sur

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Publications (8)

SPIE Journal Paper | 29 December 2021

Texture descriptors for robust SAR image segmentation

Andrea Rey, Juliana Gambini, Claudio Delrieux

JARS, Vol. 15, Issue 04, 046511, (December 2021) https://doi.org/10.1117/12.10.1117/1.JRS.15.046511

KEYWORDS: Synthetic aperture radar, Image segmentation, Polarization, Image classification, Image processing, Image filtering, Data modeling, Polarimetry, Speckle, Contamination

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Proceedings Article | 3 January 2020 Paper

Supervised learning for semantic segmentation of human spermatozoa

Natalia Revollo, Felix S. Thomsen, Claudio Delrieux, Rolando González-José

Proceedings Volume 11330, 113300Y (2020) https://doi.org/10.1117/12.2542464

KEYWORDS: Image segmentation, Machine learning, RGB color model, Computing systems, Internet, Microscopes, Image information entropy, Classification systems

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Proceedings Article | 21 December 2018 Paper

An automatic system for spermiogram analysis based on image processing techniques and support vector machines

Natalia Revollo, Claudio Delrieux, Rolando González-José, Javier Izetta R.

Proceedings Volume 10975, 109750G (2018) https://doi.org/10.1117/12.2513676

KEYWORDS: Image segmentation, Head, Image processing, Image analysis, Prototyping, Image classification, Statistical analysis, Shape analysis, Machine learning, Classification systems

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Proceedings Article | 3 October 2017 Paper

Vessel and oil spill early detection using COSMO satellite imagery

Natalia V. Revollo, Claudio Delrieux

Proceedings Volume 10422, 1042203 (2017) https://doi.org/10.1117/12.2279545

KEYWORDS: Satellite imaging, Satellites, Synthetic aperture radar, Earth observing sensors, Pattern recognition, Image processing, Algorithm development, Sensors, Environmental monitoring, Environmental sensing

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Proceedings Article | 5 May 2009 Paper

Landmine detection using IR image segmentation by means of fractal dimension analysis

Horacio Abbate, Juliana Gambini, Claudio Delrieux, Eduardo Castro

Proceedings Volume 7303, 730317 (2009) https://doi.org/10.1117/12.819150

KEYWORDS: Image processing, Image segmentation, Fractal analysis, Infrared imaging, Infrared radiation, Infrared detectors, Image classification, Thermography, Binary data, Land mines

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Proceedings Article | 15 July 2002 Paper

Advanced techniques for real-time flow visualization

Claudio Delrieux, Julian Dominguez, Andres Repetto

Proceedings Volume 4716, (2002) https://doi.org/10.1117/12.474934

KEYWORDS: Visualization, Convolution, Scientific visualization, Dynamical systems, Visual analytics, Internet

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Proceedings Article | 7 June 2002 Paper

Image processing spreadsheet

Claudio Delrieux, Gustavo Ramoscelli, Leonardo Arlenghi, Alejandro Vitale

Proceedings Volume 4735, (2002) https://doi.org/10.1117/12.470104

KEYWORDS: Image processing, Image filtering, Image segmentation, Signal processing, Visualization, Image visualization, Human-machine interfaces, Image processing software, Convolution

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Consider an hypothetical image processing system, where a given target is to be identified. The usual sequence of steps consists on an image equalization to adapt to the illumination situation. Then the image is binarized, allowing a morphological filter to correct the noisy edges and shapes by means of an indeterminate sequence of openings or closings. The resulting image can then be segmented and recognized. If the results are unsatisfactory, then the processing parameters in any of the previous steps must be changed, perhaps by trial and error. For instance, the binarization threshold can be raised or lowered, and the following steps must be performed again to see the results. This is obviously cumbersome, tedious and error prone. The Image Processing Spreadsheet PDICalc is a simple but powerful combination of two different and widespread software technologies. It's benefit comes from enabling users to build an image processing pipeline, considering each step separately, and visualizing the results of modifying the parameters of each step in the final image. A spreadsheet based user interface eliminates the tedious and repetitive interaction that characterizes current image processing software. Users can build a processing template and reliably repeat often needed processing without the effort of redevelopment or recoding. In the cited example the user simply creates the processing template, defining each cell of the spreadsheet as the result of applying a given processing step on another cell. This template can be then reused with any input image, can be stored for future processing sessions, and every step can be trimmed precisely to achieve the desired results. Our implementation considers most of the image processing techniques as its building blocks. Arithmetic operators are overloaded to represent per pixel operations. We included also equalization and histogram correction, arbitrary convolution filtering, arbitrary morphological filtering (with programmed repetition), Fourier operations, and several segmentation techniques.

Proceedings Article | 7 June 2002 Paper

Hybrid image recognition architecture

Claudio Delrieux, Roman Katz

Proceedings Volume 4735, (2002) https://doi.org/10.1117/12.470103

KEYWORDS: Image processing, Image filtering, Image segmentation, Signal processing, Machine vision, Pattern recognition, Optical filters, Neural networks, Fuzzy logic, Fuzzy systems

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Showing 5 of 8 publications

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