| 多尺度形态学图像边缘检测方法 |
| |
| 引用本文： | 刘循,游志胜. 多尺度形态学图像边缘检测方法[J]. 光电工程, 2003, 30(3): 56-58 |
| |
| 作者姓名： | 刘循 游志胜 |
| |
| 作者单位： | 四川大学计算机学院图像所,四川,成都,610064 |
| |
| 基金项目： | 国家自然科学基金资助(600734046) |
| |
| 摘 要： | 在形态学边缘检测算子的基础上,综合形态膨胀和形态腐蚀,得到修正的边缘检测算子,以减轻图像边缘检测的模糊性;进行形态结构元素尺度调整,并综合各种尺度下的边缘特征,得到噪声存在条件下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。
|
| 关 键 词： | 图像处理 形态边缘检测 多尺度形态学 |
| 文章编号： | 1003-501X(2003)03-0056-03 |
| 收稿时间： | 2002-12-09 |
| 修稿时间： | 2002-12-09 |
An Image Edge Detection Method Based on Multi-Scale Morphology |
| |
| LIU Xun,YOU Zhi-sheng. An Image Edge Detection Method Based on Multi-Scale Morphology[J]. Opto-Electronic Engineering, 2003, 30(3): 56-58 |
| |
| Authors: | LIU Xun YOU Zhi-sheng |
| |
| Abstract: | On the basis of edge detection operator of morphology and combining with morphological expansion and morphological corrosion, the corrected edge detection operators are obtained, thus the fuzziness of image edge detection will be reduced and the size adjustment of the morphological structural elements will be performed. The more ideal image edges under the environment of existing noise are obtained by integrating the edge characteristics for various sizes. The experiments demonstrate the feasibility and effectiveness of the algorithm. |
| |
| Keywords: | Image processing Morphologic edge detection Multi-scale morphology |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
