| 基于小波和形态学的图像边缘检测 |
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| 引用本文： | 张建国.基于小波和形态学的图像边缘检测[J].科技情报开发与经济,2006,16(16):171-172. |
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| 作者姓名： | 张建国 |
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| 作者单位： | 武汉军事经济学院基础课部,湖北,武汉,430035 |
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| 摘 要： | 在用小波分解加强图像边缘的基础上,利用修正的形态学边缘检测算子,以减轻图像边缘检测的模糊性;通过形态结构元素尺度的调整,得到多尺度下图像边缘的特征,并综合各尺度下的边缘特征,得到较为理想的图像边缘,实验验证了该算法的可行性和有效性。
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| 关 键 词： | B样条小波 边缘增强 形态学边缘检测 多尺度形态学 非极大值运算 |
| 文章编号： | 1005-6033（2006）16-0171-02 |
| 收稿时间： | 2006-03-16 |
| 修稿时间： | 2006年3月16日 |
The Image Edge Detection Based on Wavelets Transform and Morphology |
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| ZHANG Jian-guo.The Image Edge Detection Based on Wavelets Transform and Morphology[J].Sci-Tech Information Development & Economy,2006,16(16):171-172. |
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| Authors: | ZHANG Jian-guo |
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| Institution: | ZHANG Jian-guo |
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| Abstract: | Based on making use of the wavelet transform to strengthen the image edge,this paper utilizes the modified morphological edge detection operator to lessen the fuzziness of the image edge detection,and through the regulation of the morphosis element size,obtains the features of the image edge under multi-scale,and obtains more ideal image edge by summing up the edge features under each size,and verifies the feasibility and effectivity of this algorithm with the test. |
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| Keywords: | B-spline wavelets amplifying edge morphologic edge detection multi-scale morphology non-maximal operation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
