In thefiscal year of 2000 though 2002, we were engaged in study of auto-dgassembly system by use of shape memory materials as a theme of study commissioned by M T C (Ma&acturing Science and Technology Center), one of exira-governmental organuatiom of MITI((Minishy of Economy, Trade and Indus@). The goal of the theme is to report the results of the stu+ to MlTI (MSTC) and release developed technologies to the public. In February 2003, we made a demomiration of aggressive disassembly modelsfor disassembly by heating in the facto?y ofRiken Hatsujo Kogvo Co.. LTD. (a spring manufacturer in Osaka), inviting representatives of other companies and university personnel concemed.In this paper> we like to introduce the results of the study along with outlook for the future.
Although the Hough transformation is a powerful method to detect segments in an image, it requires not only a vast amount of memory but also a long processing time when a highly accurate detection is demanded. This paper proposes a new method of detecting segments with high accuracy using the Hough transformation without increasing the amount of memory. Unlike the conventional segment detection method in which the detection process is based on the parameter plane, this new method feeds the process back to the image plane from the parameter plane. Another feature of the method is the elimination in the parameter plane of Hough curves which are derived from pixels in the image plane constituting already detected segments. Experiments show that this method detects segments with a high accuracy from “noisy” images including many long and short segments.
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