5 May 1994 Automatic exposure system by fuzzy control for digital still camera
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The purpose of this paper is to explain the applications of automatic exposure adjusting apparatus for a digital still camera. Suppose one image has 512 X 512 pixels and the gray levels of each pixel range from 0 to 255, it will result in 256512 X 512 kinds of images. The next question is: how can you differentiate the proper luminance from these images? The fuzzy c-means algorithm of the fuzzy pattern recognition is used. When the degree of the membership function, representing each element in the eight orthogonal vector spaces calculated by variance criterion, is equal to 0.5, it represents neither light images nor dark images and is the proper luminance. The equation `the degree of the membership function equal to 0.5' is derived. Applying the third form of the fuzzy control involves using this equation to differentiate proper luminance of images from all images. The experimental data demonstrate satisfactory results.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong-Cheng Liou, Yong-Cheng Liou, Wen-Tseng Chiang, Wen-Tseng Chiang, Ye-Quang Chen, Ye-Quang Chen, Chi-Fu Chou, Chi-Fu Chou, Hwa-Shyong Jih, Hwa-Shyong Jih, Yusheng Tim Tsai, Yusheng Tim Tsai, } "Automatic exposure system by fuzzy control for digital still camera", Proc. SPIE 2173, Image Acquisition and Scientific Imaging Systems, (5 May 1994); doi: 10.1117/12.175153; https://doi.org/10.1117/12.175153


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