抄録
An extraction of a specific figure in image has basic problems in intelligent image sensing. The generalized Hough transform (GHT) is the representative method to extract arbitrary figures which are rotated and enlarged or reduced. It has been numerous improvements. However, for extraction of arbitrary figures, it takes much processing time and needs much memory space. It is impossible to apply to figures including intersections. For an improvement of the problems, a new method to extract arbitrary figure using one-dimensional histogram is proposed in this study. In comparison with conventional method, it is understood that memory space is very small, processing time is very short and figures including intersections can be extracted. In addition, this method is effective for the target figure with different aspect ratio.
