| Adaptive Dual-Threshold Edge Detection Based on Wavelet Transform |
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| 作者姓名： | 侯舒娟 梅文博 张志明 |
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| 作者单位： | DepartmentofEle.etronieEngineering,SchoolofInformationScienceandTechnology,BeijingInstituteofTechnology,Beijing100081,China |
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| 摘 要： | In order to solve the problems of local-maximum modulus extraction and threshold selection in the edge detection of finite-resolution digital images, a new wavelet transform based adaptive dual-threshold edge detection algorithm is proposed. The local-maximum modulus is extracted by linear interpolation in wavelet domain. With the analysis on histogram, the image is filtered with an adaptive dual-threshold method, which effectively detects the contours of small structures as well as the boundaries of large objects. A wavelet domain‘s propagation func-tion is used to further select weak edges. Experimental results have shown the self-adaptivity of the threshold to images having the same kind of histogram, and the efficiency even in noise-tampered images.
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| 关 键 词： | 小波变换 边缘检测 传播函数 图像处理 二阈值 |
| 收稿时间： | 2001/12/10 0:00:00 |
Adaptive Dual-Threshold Edge Detection Based on Wavelet Transform |
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| HOU Shu juan,MEI Wen bo and ZHANG Zhi ming.Adaptive Dual-Threshold Edge Detection Based on Wavelet Transform[J].Journal of Beijing Institute of Technology,2003,12(3):247-250. |
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| Authors: | HOU Shu juan MEI Wen bo and ZHANG Zhi ming |
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| Affiliation: | Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | In order to solve the problems of local maximum modulus extraction and threshold selection in the edge detection of finite resolution digital images, a new wavelet transform based adaptive dual threshold edge detection algorithm is proposed. The local maximum modulus is extracted by linear interpolation in wavelet domain. With the analysis on histogram, the image is filtered with an adaptive dual threshold method, which effectively detects the contours of small structures as well as the boundaries of large objects. A wavelet domain's propagation function is used to further select weak edges. Experimental results have shown the self adaptivity of the threshold to images having the same kind of histogram, and the efficiency even in noise tampered images. |
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| Keywords: | wavelet transform edge detection propagation function dual threshold |
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