A new algorithm of automatic white balance for electronic images has been developed. This algorithm uses hzzy logic rules for determinationi of the color parameters in order to minimize the color temperature difference of various light sources. This algorithm has been implemented in a newly designed electronic still camera, and resulted in highly improved image quality.

A new algorithm of automatic white balance for electronic images has been developed. This algorithm uses hzzy logic rules for determinationi of the color parameters in order to minimize the color temperature difference of various light sources. This algorithm has been implemented in a newly designed electronic still camera, and resulted in highly improved image quality.

The purpose of this paper explains the applications of automatic exposure adjusting apparatus for digital still camera.Supposed one image has 512 X 512 pixels and gray levels of each pixel range from 0 to 255, then it will result in 256512 X 512 kinds of images. The next question comes: how can you differentiate the proper luminance from these images 7The fuzzy c-means algorithm of the fuzzy pattern recognition is used. When the degree of the membership function , representing each element in the 8 orthogonal vector spaces calculated by variance criterion , is equal to 0.5 , it represents neither light images nor dark images and will be the proper luminance. The equation of "the degree of the membership function equal to 0.5" is derived.Applying the third form of the fuzzy control, then-part uses this equation to differentiate proper luminance of images from all images. The experimental data demonstrate satisfied results.

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