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Dr. Fethullah Karabiber
Post Doctaral Associate
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Author
Publications (5)
SPIE Journal Paper | 1 January 2011
Implementation of a cellular neural network-based segmentation algorithm on the bio-inspired vision system
Fethullah Karabiber, Giuseppe Grassi, Pietro Vecchio, Sabri Arik, M. Erhan Yalcin
JEI, Vol. 20, Issue 1, 013004, (January 2011) https://doi.org/10.1117/12.10.1117/1.3533327
KEYWORDS: Image segmentation, Edge detection, Detection and tracking algorithms, Digital signal processing, Video, Algorithm development, Image processing algorithms and systems, Motion detection, Neural networks, Logic
Proceedings Article | 20 May 2009 Paper
Implementation of a new segmentation algorithm using the Eye-RIS CMOS vision system
Fethullah Karabiber, Paolo Arena, Sebastiano De Fiore, Guido Vagliasindi, Luigi Fortuna, Sabri Arik
Proceedings Volume 7365, 736505 (2009) https://doi.org/10.1117/12.821730
KEYWORDS: Image segmentation, Image processing algorithms and systems, Image processing, Edge detection, Logic, Detection and tracking algorithms, Algorithm development, Image filtering, Gaussian filters, Digital image processing
Proceedings Article | 11 February 2009 Paper
Hyper-spectral image segmentation using spectral clustering with covariance descriptors
Proceedings Volume 7245, 724512 (2009) https://doi.org/10.1117/12.811132
KEYWORDS: Image segmentation, Matrices, Computer engineering, Image processing algorithms and systems, Machine vision, Computer vision technology, Binary data, Electrical engineering, Hyperspectral systems, Image processing
Proceedings Article | 11 February 2009 Paper
Edge detection algorithms implemented on Bi-i cellular vision system
Fethullah Karabiber, Sabri Arik
Proceedings Volume 7245, 72451B (2009) https://doi.org/10.1117/12.810533
KEYWORDS: Edge detection, Digital signal processing, Detection and tracking algorithms, Image processing, Signal processing, Image enhancement, Computer programming, Neural networks, Analog electronics, MATLAB
Proceedings Article | 3 February 2009 Paper
Vision based auto inspection system for detecting scratches on the products
Proceedings Volume 7251, 725112 (2009) https://doi.org/10.1117/12.810516
KEYWORDS: Inspection, Image processing, Switches, Ceramics, Detection and tracking algorithms, Image segmentation, Edge detection, Manufacturing, Algorithm development, Control systems
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