An Edge Detection Algorithm Based on Adaptive Threshold

被引：0
|
作者：
Mo, Wei Jian [1 ]
机构：
[1] Sun Yat Sen Univ, Xinhua Coll, Guangzhou 510520, Guangdong, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, COMMERCE AND SOCIETY | 2015年 / 17卷
关键词：
Edge detection algorithm; Wavelet decomposition; Directional characteristics; Threshold; WAVELET TRANSFORM; INTERPOLATION; EXTRACTION;
D O I：
暂无
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
The threshold need artificial hypothesis in the existing edge detection algorithm. In response to this phenomenon, we propose an edge detection algorithm is based on adaptive threshold. Article algorithm was studying the characteristics of wavelet transform. And it was combined with the traditional edge detection algorithm to reset the threshold. So we can use this adaptive Threshold to search the edge signal. Experimental results show that the results consistent with the expected results. Article algorithm can kept a better edge detection effect under different condition. And it cans effective extract the edges of each frequency sub-band.
引用
收藏
页码：188 / 192
页数：5
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