Multi-Scale Edge Detection for Remote Sensing Image Processing Bases on the Wavelet Transform

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- Multi-Scale Edge Detection for Remote Sensing Image Processing Bases on the Wavelet Transform
- Vol. 30, Issue 2, Pages: 18-20(2013)
- 作者机构：
  
  成都理工大学机构信息科学与技术学院,四川,成都,611844
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013
- 稿件说明：
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文武, 苗放. 基于小波的多尺度边缘检测在遥感图像处理中的应用[J]. 微电子学与计算机, 2013, 30(2): 18-20.

WEN Wu, MIAO Fang. Multi-Scale Edge Detection for Remote Sensing Image Processing Bases on the Wavelet Transform[J]. 2013, 30(2): 18-20.
文武, 苗放. 基于小波的多尺度边缘检测在遥感图像处理中的应用[J]. 微电子学与计算机, 2013, 30(2): 18-20. DOI：

WEN Wu, MIAO Fang. Multi-Scale Edge Detection for Remote Sensing Image Processing Bases on the Wavelet Transform[J]. 2013, 30(2): 18-20. DOI：

本文引入小波多尺度边缘检测

将小波的尺度因子与不同方向的梯度联系起来在梯度大的方向(垂直边缘方向)采用小尺度的因子

突出细节.在梯度小的方向(沿着边缘方向)采用大尺度因子

可提高信噪比.试验结果表明:该算法具有很好的边缘细节的保持性

较常见的P-M模型滤波方法算法效果有明显优势.

This paper introduces the wavelet multi-scale edge detection

which correlated wavelet scale factor and different direction gradient.Using small scale factor in the large gradient direction

which can highlight the details.Using a large scale factor in the small gradient direction

which can improve signal to noise ratio.The test results show that: the algorithm has very good edge retention

has obvious advantages compared with P-M model filtering algorithm.

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