Extracting physically nonexistent contours

Extracting physically nonexistent contours
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提取物理上不存在的轮廓

DOI:
10.1002/scj.4690220808
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发表时间:
1991
期刊:
Systems and Computers in Japan
影响因子:
--
通讯作者:
N. Sugie
N. Sugie
中科院分区:
--
文献类型:
--
作者:
Hiroyuki Yasuda;Kazuhisa Ando;N. Ohnishi;N. Sugie

文献摘要

被引文献

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提出了人类视觉系统的模型,该模型似乎与从原始图像中高度可靠地提取轮廓有关。换句话说,提出了一种自动生成物理上不存在的主观轮廓的算法。 This algorithm consists of the following five steps: extracting physical contours, determining candidate points through which subjective contours pass, determining a direction of subjective contours at each candidate point, determining pairs of candidate points to be connected by subjective contours, and generating curves connecting each pair of candidate points. This algorithm was applied to various figures containing line segments, and it was found that the same contours as the subjective contours perceived by human beings could be generated automatically. Further, this algorithm was applied to a figure of lines consisting only of external contours at which several convex polygons overlap each other.然后,可以在对象的重叠部分和单独的组成多边形中提取内部轮廓。
A model of the human vision system is proposed which seems to be related to highly reliable extraction of contours from an original image. In other words, an algorithm is proposed for automatically generating physically nonexistent subjective contours. This algorithm consists of the following five steps: extracting physical contours, determining candidate points through which subjective contours pass, determining a direction of subjective contours at each candidate point, determining pairs of candidate points to be connected by subjective contours, and generating curves connecting each pair of candidate points. This algorithm was applied to various figures containing line segments, and it was found that the same contours as the subjective contours perceived by human beings could be generated automatically. Further, this algorithm was applied to a figure of lines consisting only of external contours at which several convex polygons overlap each other. Then, internal contours could be extracted in the overlapping parts of objects and separate constituent polygons.