Color image segmentation in visual prostheses

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.