| 基于小波变换和数学形态学的航空图像边缘检测 |
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| 引用本文： | 段培超,周春平. 基于小波变换和数学形态学的航空图像边缘检测[J]. 河北科技大学学报, 2006, 27(2): 158-161 |
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| 作者姓名： | 段培超 周春平 |
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| 作者单位： | 中国民用航空学院理学院,天津,300300;北京市遥感信息研究所,北京,100011 |
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| 基金项目： | 中国民用航空学院校立基金资助项目(04-CAUC-15S) |
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| 摘 要： | 为有效提取噪声较大的航空图像的边缘信息,对基于小波变换和数学形态学相结合的图像边缘检测算法进行了改进,将小波分解后的高频和低频子图分别进行边缘处理。对分解后的低频系数图像采用小波边缘检测方法,而对包含细节较多的高频系数图像则选取合适的结构元素,提出一种新的梯度算子,采用基于小尺度的数学形态学方法进行边缘检测,最后对2种边缘图像采用小波重构方法得到新的边缘图像。
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| 关 键 词： | 小波变换 数学形态学 结构元素 边缘检测 |
| 文章编号： | 1008-1542(2006)02-0158-04 |
| 收稿时间： | 2005-12-19 |
| 修稿时间： | 2005-12-19 |
Aerial image edge detection based on wavelet transform and mathematical morphology |
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| DUAN Pei-chao and ZHOU Chun-ping. Aerial image edge detection based on wavelet transform and mathematical morphology[J]. Journal of Hebei University of Science and Technology, 2006, 27(2): 158-161 |
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| Authors: | DUAN Pei-chao and ZHOU Chun-ping |
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| Affiliation: | College of Sciences,Civil Aviation University of China, Tianjin 300300,China;Beijing Remote Sensing Information Institute, Beijing 100011,China |
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| Abstract: | Traditional edge detection arithmetics are very sensitive because of much noise of the aerial image,so an improved edge detector based on wavelet transform and mathematical morphology is proposed in this paper.It handles the high frequency and low frequency part with wavelet and mathematical morphology independently.The low frequency coefficients are detected with wavelet local-maximum modulus and the high frequency coefficients including many details done with mathematical morphology by choosing appropriate structure elements.The two kinds of edge images are reconstructed by wavelet method. |
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| Keywords: | wavelet transform mathematical morphology structure element edge detection |
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