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双阈值法在图像边缘检测中的应用
引用本文:于晓娟,邓发强,莫浩然.双阈值法在图像边缘检测中的应用[J].装备制造技术,2009(4).
作者姓名:于晓娟  邓发强  莫浩然
作者单位:1. 黑龙江八一农垦大学文理学院,黑龙江,大庆,163319
2. 大庆东昊投资有限公司
3. 大庆油田测试技术服务分公司,黑龙江,大庆,163000
摘    要:利用小波变换模极大值法进行图像边缘检测时,需选择阈值,将小波变换系数较小的点滤掉,但是一幅图像中边缘的奇异性并不均匀,如果对变换后的图像取单一阈值,那么微弱边缘将会因为灰度不均匀、噪声等一并被滤除.针对这一问题,在上述算法中用双阈值法代替单阈值,使得图像边缘连续,同时也能很好地消除噪声,实验结果表明该算法简单实用,易于实现.

关 键 词:小波变换  双阈值  边缘检测

Application of Double Threshold Value Method in the Edge Detection Image Image
Authors:YU Xiao-juan  DENG Fa-qiang  MO Hao-ran
Affiliation:1.College of Arts and Science;Heilongjiang August First Land Reclamation University;Daqing Heilongjiang 163319 China;2.Daqing Donghao Investment Company Ltd;Daqing Heilongjiang 163453 China;3.Logging & Testing Services Company of Daqing Oilfield Company Ltd.;Daqing Heilongjiang 163000 China
Abstract:When using the modulus maximum value of wavelet transform in the image edge detection,we need choose appropriate threshold to filtrate the smaller point of the wavelet coefficient.However,the singularity of the edge in an image is not uniform;the faintness edge will be filtered with the non-uniform of gray-scale and noise,etc.In response to this problem,the use of dual-threshold method instead of a single threshold in the above algorithm will make the edge of the image in a row,as well as the elimination of...
Keywords:wavelet transform  double threshold value  edge detection  
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