SEGMENTATION AND EDGE LINKING

Field programable gate array based architecture for real time image segmentation by region growing algorithm

[+] Author Affiliations
Chip-Hong Chang, Hui Tian, Thambipillai Srikanthan, Chai-Soon Lim

Nanyang Technological University, Centre for High Performance Embedded Systems, N4-B3b-06, Nanyang Avenue, Singapore?639798 E-mail: echchang@ntu.edu.sg

J. Electron. Imaging. 11(4), 469-478 (Oct 01, 2002). doi:10.1117/1.1505963
History: Received Jun. 5, 2001; Revised Apr. 26, 2002; Accepted Jul. 2, 2002; Online October 15, 2002
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A new pipelined architecture for colonoscopic image segmentation based on Otsu thresholding and fuzzy region growing techniques has been proposed in this paper. The computed center of mass and the segmented colon lumen of interest are used to guide the colonoscope to maneuver smoothly in the highly flexible colon with many bends, twists, and pockets. Unlike image segmentation used for colon abnormalities analysis and disease status assessment, automation of colonoscope navigation requires processing speed often unmatchable by software codes running on a general-purpose computer. In this paper, a fuzzy region growing based segmentation process has been implemented on a field programable gate array to facilitate real time computation of the lumen region. The proposed design is control path dominant and occupies less than 100k logic gates. Experimental results show that display rate of 50 frames/s. is achievable for standard colonoscopic images of size 256×256. © 2002 SPIE and IS&T.

© 2002 SPIE and IS&T

Citation

Chip-Hong Chang ; Hui Tian ; Thambipillai Srikanthan and Chai-Soon Lim
"Field programable gate array based architecture for real time image segmentation by region growing algorithm", J. Electron. Imaging. 11(4), 469-478 (Oct 01, 2002). ; http://dx.doi.org/10.1117/1.1505963


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