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Proceedings Paper

Implementation of a new segmentation algorithm using the Eye-RIS CMOS vision system
Author(s): Fethullah Karabiber; Paolo Arena; Sebastiano De Fiore; Guido Vagliasindi; Luigi Fortuna; Sabri Arik
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Paper Abstract

Segmentation is the process of representing a digital image into multiple meaningful regions. Since these applications require more computational power in real time applications, we have implemented a new segmentation algorithm using the capabilities of Eye-RIS Vision System to execute the algorithm in very short time. The segmentation algorithm is implemented mainly in three steps. In the first step, which is pre-processing step, the images are acquired and noise filtering through Gaussian function is performed. In the second step, Sobel operators based edge detection approach is implemented on the system. In the last step, morphologic and logic operations are used to segment the images as post processing. The experimental results performed for different images show the accuracy of the proposed segmentation algorithm. Visual inspection and timing analysis (7.83 ms, 127 frame/sec) prove that the proposed segmentation algorithm can be executed for real time video processing applications. Also, these results prove the capability of Eye-RIS Vision System for real time image processing applications

Paper Details

Date Published: 20 May 2009
PDF: 7 pages
Proc. SPIE 7365, Bioengineered and Bioinspired Systems IV, 736505 (20 May 2009); doi: 10.1117/12.821730
Show Author Affiliations
Fethullah Karabiber, Istanbul Univ. (Turkey)
Paolo Arena, Univ. degli Studi di Catania (Italy)
Sebastiano De Fiore, Univ. degli Studi di Catania (Italy)
Guido Vagliasindi, Univ. degli Studi di Catania (Italy)
Luigi Fortuna, Univ. degli Studi di Catania (Italy)
Sabri Arik, Istanbul Univ. (Turkey)


Published in SPIE Proceedings Vol. 7365:
Bioengineered and Bioinspired Systems IV
Ángel B. Rodríguez-Vázquez, Editor(s)

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