Korean Journal of Optometry and Vision Science 2011;10(2):71-77.
Published online December 20, 2011.
시선 응시 모형과 피부 검출 모형을 이용한 인공망막의 영상처리
장민혜, 김현석, 진선미, 박광석
1Interdisciplinary Program for Bioengineering, Seoul National University, 2Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea
Image Processing for Artificial Retina Using Saliency Map and Skin Detection
Min Hye Chang, Hyun Seok Kim, Seon Mi Jin, Kwang Suk Park
Abstract
Purpose
Because of the technical limitation, the number of microelectrode used for visual prosthesis is limited. Therefore we tried to deliver better visual information expected to attract viewer's attention efficiently by applying a saliency map and skin detection algorithm. Methods: Seven subjects who had normal sight participated. Their gaze movement was detected about each method. After using histogram equalization, saliency map was applied to original image. Skin detection algorithm was used only when there was human in the image. Results: When using saliency map, subject's gaze movement corresponded much more with attended region in original image than those without the methods by 48 percent. For image with a person, subject's gaze movement corresponded more with attended region in original image by 6 percent. Conclusions: Saliency map and skin detection delivered attended visual information more simply and more quickly. (Korean J Optom Vis Sci 2011;10(2):71-77)
Key Words: Artificial retina, Saliency map, Skin detection
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