标题:Adaptive threshold edge detection algorithm based on APDCSF and anti-symmetrical biorthogonal wavelet transform
作者:Zhou, Xiao ;Wang, Xiaoyan ;Jiang, Baochen ;Wang, Chengyou
作者机构:[Zhou, Xiao ;Wang, Xiaoyan ;Jiang, Baochen ;Wang, Chengyou ] School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai 更多
通讯作者:Zhou, X
来源:Journal of Communications
出版年:2014
卷:9
期:6
页码:515-520
DOI:10.12720/jcm.9.6.515-520
关键词:Adaptive threshold; All phase discrete cosine sequency filter (APDCSF); Artificial threshold; Edge detection; Image processing; Wavelet decomposition
摘要:This paper proposes an edge detection algorithm based on adaptive threshold which is obtained by histogram matching edge gradient value. The implementation of this algorithm is made up of three procedures: all phase discrete cosine sequency filtering, wavelet decomposition and adaptive threshold processing. The image is decomposed into low frequency and high frequency subbands by using all phase discrete cosine sequency filter (APDCSF). Experimental results on test images reveal that compared with the edge detection algorithm based on artificial threshold, the proposed one can create dynamic threshold adaptively and show better edge detection performance especially in terms of edge positioning accuracy. © 2014 Engineering and Technology Publishing.
收录类别:EI;SCOPUS
Scopus被引频次:3
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84903696637&doi=10.12720%2fjcm.9.6.515-520&partnerID=40&md5=bf3499328deeb361006cac6d1160386c
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