| 最优小波尺度空间的图像边缘检测方法 |
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| 引用本文： | 胡凯,张颖超,钱蕾.最优小波尺度空间的图像边缘检测方法[J].南京气象学院学报,2011(3):259-264. |
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| 作者姓名： | 胡凯 张颖超 钱蕾 |
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| 作者单位： | 南京信息工程大学信息与控制学院, 南京, 210044;南京信息工程大学信息与控制学院, 南京, 210044;南京信息工程大学信息与控制学院, 南京, 210044 |
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| 基金项目： | 南京信息工程大学科研基金(2007-0063);国家自然科学基金(20080144) |
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| 摘 要： | 根据图像和检测算子的特性,以相关性为准则,使用遗传算法对图像小波变换的尺度进行选择,从而构成一种自适应的高斯小波尺度空间.融合该空间下不同尺度检测的图像边缘,使得整幅图像的边缘细节丰富清晰,具有更好的抗噪性能.对测试图像使用Canny算法、单尺度、二进尺度和自适应尺度小波进行边缘检测,验证了该算法在去除噪声和准确定位方面的有效性.
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| 关 键 词： | 边缘检测 多尺度 自适应 遗传算法 |
| 收稿时间： | 2010/12/22 0:00:00 |
Edge detection of optimal wavelet scale space image |
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| HU Kai,ZHANG Yingchao and QIAN Lei.Edge detection of optimal wavelet scale space image[J].Journal of Nanjing Institute of Meteorology,2011(3):259-264. |
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| Authors: | HU Kai ZHANG Yingchao and QIAN Lei |
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| Institution: | School of Information and Control, Nanjing University of Information Science & Technology, Nanjing 210044;School of Information and Control, Nanjing University of Information Science & Technology, Nanjing 210044;School of Information and Control, Nanjing University of Information Science & Technology, Nanjing 210044 |
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| Abstract: | Edge detection is one of most important fields in computer vision,and lots of algorithms have been proposed by former scholars.Based on properties of image and detector,and taking relevances as criterion,this paper proposes an algorithm which use genetic algorithm to select optimal wavelet transform scales to form an adaptive Gaussian wavelet scale space.By fusing image''s edges detected at different scales in this scale space,image will be improved in edge details and noise immunity.Experiments show that this adaptive scale wavelet algorithm has advantage in terms of noise removing and corner points positioning over Canny algorithm,single-scale wavelet algorithm,binary scale wavelet algorithm or multi-scale wavelet a algorithm. |
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| Keywords: | edge detection multi-scale adaptation genetic algorithm |
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