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

doi:10.1117/12.821730

20 May 2009 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, Bioengineered and Bioinspired Systems IV; 736505 (2009) https://doi.org/10.1117/12.821730
Event: SPIE Europe Microtechnologies for the New Millennium, 2009, Dresden, Germany

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

Citation Download Citation

Fethullah Karabiber, Paolo Arena, Sebastiano De Fiore, Guido Vagliasindi, Luigi Fortuna, and 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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available