Adaptive thresholding in dynamic scene analysis for extraction of fine line

被引：0

作者：

Abu Bakar, SAR ^{[1
]}

Green, RJ ^{[1
]}

机构：

[1] Univ Teknol Malaysia, Fac Elect Engn, Skudai 81310, Johor, Malaysia

来源：

IEEE 2000 TENCON PROCEEDINGS, VOLS I-III: INTELLIGENT SYSTEMS AND TECHNOLOGIES FOR THE NEW MILLENNIUM | 2000年

关键词：

adaptive threshold; fine line extraction; moving object detection;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents an adaptive threshold method whereby fine thin line of one-pixel width lines could be detected in a gray level images. The proposed method uses the percentage difference between the mean of the pixels within a window and the center pixel The minimum threshold value however is heuristically set to 32. If the percentage different is greater than 40%, then the threshold value will, be set to the difference value. This method has been applied in detecting moving objects with fine lines and the results showed that the method was able to pickup straight thin edges that belong to the moving object.

引用

页码：A141 / A143

页数：3

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