DocumentCode
3061866
Title
Low power and area efficient image segmentation VLSI architecture using 2-dimensional pixel-block scanning
Author
Okazaki, Keita ; Nagaoka, Naomi ; Sugahara, Tatsuya ; Koide, Tetsushi ; Mattausch, Hans Jürgen
Author_Institution
Grad. Sch. of Adv. Sci. of Matter, Hiroshima Univ., Higashi-Hiroshima
fYear
2009
fDate
8-11 Feb. 2009
Firstpage
1
Lastpage
4
Abstract
We report a pixel-block scanning image segmentation VLSI based on a region-growing approach. Using the two techniques of (i) a limited scan to the boundary of each grown region and (ii) continued block-internal region growing, we have improved the overall segmentation speed and power consumption in comparison to a previous design. We evaluated the segmentation performance by MATLAB simulation and an ASIC design. The scan block shape and size are scalable, and can be optimized to fulfill segmentation speed, power consumption, and implementation area requirements. The pixel-parallel segmentation unit area could be reduced to 1/10 by changing the pixel-block size from 80 times 2 pixels to 4 times 4 pixels, which still enables real-time segmentation performance.
Keywords
VLSI; application specific integrated circuits; image segmentation; integrated circuit design; low-power electronics; 2-dimensional pixel-block scanning; ASIC design; MATLAB simulation; VLSI architecture; area efficient image segmentation; continued block-internal region growing; low-power VLSI architecture; pixel-block size; pixel-parallel segmentation unit area; Biomedical signal processing; Cameras; Electronic mail; Energy consumption; Image segmentation; Image storage; Robot vision systems; Service oriented architecture; Smart pixels; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing and Communications Systems, 2008. ISPACS 2008. International Symposium on
Conference_Location
Bangkok
Print_ISBN
978-1-4244-2564-8
Electronic_ISBN
978-1-4244-2565-5
Type
conf
DOI
10.1109/ISPACS.2009.4806691
Filename
4806691
Link To Document