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20 May 2009Implementation of a new segmentation algorithm using the Eye-RIS CMOS vision system
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
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Fethullah Karabiber, Paolo Arena, Sebastiano De Fiore, Guido Vagliasindi, Luigi Fortuna, Sabri Arik, "Implementation of a new segmentation algorithm using the Eye-RIS CMOS vision system," Proc. SPIE 7365, Bioengineered and Bioinspired Systems IV, 736505 (20 May 2009); https://doi.org/10.1117/12.821730