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Proceedings Paper

Automatic exposure system by fuzzy control for digital still camera
Author(s): Yong-Cheng Liou; Wen-Tseng Chiang; Ye-Quang Chen; Chi-Fu Chou; Hwa-Shyong Jih; Yusheng Tim Tsai
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Paper Abstract

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.

Paper Details

Date Published: 5 May 1994
PDF: 12 pages
Proc. SPIE 2173, Image Acquisition and Scientific Imaging Systems, (5 May 1994); doi: 10.1117/12.175153
Show Author Affiliations
Yong-Cheng Liou, Industrial Technology Research Institute (Taiwan)
Wen-Tseng Chiang, Industrial Technology Research Institute (Taiwan)
Ye-Quang Chen, Industrial Technology Research Institute (Taiwan)
Chi-Fu Chou, Industrial Technology Research Institute (Taiwan)
Hwa-Shyong Jih, Industrial Technology Research Institute (Taiwan)
Yusheng Tim Tsai, Industrial Technology Research Institute (Taiwan)


Published in SPIE Proceedings Vol. 2173:
Image Acquisition and Scientific Imaging Systems
Helen C. Titus; Amir Waks, Editor(s)

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