Fuzzy reasoning processor for camera image autofocus

Oscal Tzyh-Chian Chen; Yao-Chou Lu; Hwai-Tsu Chang

doi:10.1117/12.206740

21 April 1995 Fuzzy reasoning processor for camera image autofocus

Oscal Tzyh-Chian Chen, Yao-Chou Lu, Hwai-Tsu Chang

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206740
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

A fuzzy reasoning processor for the autofocusing operation of a camera has been developed. The automatic focus is performed by evaluating the object distance and luminance. The object distance is measured by the beams of infrared light. The adequate contrast of object contours is evaluated by the image luminance. The proposed fuzzy reasoning processor can efficiently determine a good focusing point and its computation power can reach 3.75 million fuzzy logic inferences per second at a system clock of 30 MHz.

Citation Download Citation

Oscal Tzyh-Chian Chen, Yao-Chou Lu, and Hwai-Tsu Chang "Fuzzy reasoning processor for camera image autofocus", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206740

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