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Proceedings Paper

Fuzzy reasoning processor for camera image autofocus
Author(s): Oscal Tzyh-Chian Chen; Yao-Chou Lu; Hwai-Tsu Chang
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Paper 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.

Paper Details

Date Published: 21 April 1995
PDF: 8 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206740
Show Author Affiliations
Oscal Tzyh-Chian Chen, Industrial Technology Research Institute (Taiwan)
Yao-Chou Lu, Industrial Technology Research Institute (Taiwan)
Hwai-Tsu Chang, Industrial Technology Research Institute (Taiwan)


Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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