基于小波和形态学的图像边缘检测

The Image Edge Detection Based on Wavelets Transform and Morphology

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。

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.