[1]王树梅,张文斌. 小波变换在数字图像边缘探测中的应用[J].计算机技术与发展,2015,25(06):16-20.
　WANG Shu-mei,ZHANG Wen-bin. Application of Wavelet Transform in Edge Detection for Digital Image[J].,2015,25(06):16-20.
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 小波变换在数字图像边缘探测中的应用()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年06期
页码:
16-20
栏目:
智能、算法、系统工程
出版日期:
2015-06-10

文章信息/Info

Title:
 Application of Wavelet Transform in Edge Detection for Digital Image
文章编号:
1673-629X（2015)06-0016-05
作者:
 王树梅; 张文斌
 江苏师范大学 计算机科学与技术学院
Author(s):
 WANG Shu-mei; ZHANG Wen-bin
关键词:
 ; 小波变换; 数字图像; 边缘探测; 纹理特征
Keywords:
 ; wavelet transform; digital image; boundary detection; texture features
分类号:
TP39
文献标志码:
A
摘要:
 文中提出一种基于离散小波变换的针对数字图像边缘的有效检测算法。主要利用小波变换的多尺度分辨特性，对数字图像进行小波变换后的水平方向、垂直方向以及对角方向的细节信息进行提取，然后对图像中的边界点进行探测，达到提取出边界信息的目的。在处理过程中，首先对除噪以后的图像作一级2-D小波变换分解，得到一个低频和三个高频部分；然后分别计算水平和垂直部分的绝对值均值，再分别计算水平和垂直方向的绝对值标准方差，根据绝对值标准方差构造四个新的二值矩阵，根据构造的矩阵修正水平和垂直方向细节信息，最后利用离散小波逆变换重构，得到检测后的图像。将重构后的图像进行边界提取。实验结果表明，算法效果良好。
Abstract:
 An effective detection algorithm is proposed based on discrete wavelet transform for digital image edges. In this paper, the wavelet multiscale resolution is used for its characteristics of horizontal,vertical and diagonal direction in order to extract the details,and then detect the boundary points of image,which will get the purpose for extracting boundary information. In the process,firstly,transfor-ming the processed image without less noise into wavelet transform decomposition,the result is that a low frequency and three high fre-quency components are produced. The next work is calculating the mean of the absolute value of the horizontal and vertical portions re-spectively,and calculating the standard deviation of horizontal and vertical direction,according to the standard deviation,four new binary matrix are constructed,the image matrix is corrected according to the horizontal and vertical detail information,the image will be obtained by the way of the inverse wavelet transform. And the boundary extraction is finished on the reconstructed image. The test results show that this method is effective.

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更新日期/Last Update: 2015-07-27