DocumentCode :
2852619
Title :
Color image segmentation in visual prostheses
Author :
Yilun, Cao ; Xudong, Zhang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2004
fDate :
18-20 Dec. 2004
Firstpage :
136
Lastpage :
139
Abstract :
The area of visual prosthesis by electrically stimulating the neural tissue of the blind person is more and more attractive with the development of electrode array and biological technology. Processing the images captured by the camera is the first step in the whole project. We use a new algorithm to get the accurate edge of color images. The result is better than that obtained through some edge operators like Canny, Soble. Then, we use simple methods to segment the image into regions that are based on gray level images of objects we are most interested in. Finally, we integrate the results from the two steps above. These methods are simple and have low computational complexity that can be used in real time process and in the volume-limited chip. The result is good in visual prostheses and also adapt to pixelized vision in later steps.
Keywords :
artificial organs; computational complexity; edge detection; eye; image colour analysis; image segmentation; medical image processing; color image segmentation; computational complexity; edge detection; electrode array; image segmentation; visual prostheses; Cameras; Color; Computational complexity; Electrodes; Image edge detection; Image segmentation; Optical arrays; Optical wavelength conversion; Pixel; Visual prosthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG'04), Third International Conference on
Conference_Location :
Hong Kong, China
Print_ISBN :
0-7695-2244-0
Type :
conf
DOI :
10.1109/ICIG.2004.47
Filename :
1410405
Link To Document :
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