基于小波模极大值多尺度的图像边缘提取

Edge Extraction Based on Multi-Scale Wavelet Modulus Maxima

边缘是图像信息的主要内容,而小波变换的多尺度特点能够检测局域突变,是图像边缘检测的优良工具。采用的小波模极大值多尺度边缘提取的基本思想是沿梯度方向,在特定阈值的约束下检测模的极大值点,将不同尺度下的边缘信息通过一定的规则进行综合,得到最终的边缘图像。实验结果表明,该方法能有效地抑制噪声,可靠识别边缘,提高检测精度等特点,是一种有效提取图像边缘的方法。

The edge is the major content in image information and the multi-scale characteristic of wavelet transfnrmation can describe the sudden change of department region, which becomes the fine tool for the edge detection in image. The hasic thought of edge extraction based on multi-scale wavelet modulus maxima in this paper is along gradient direction to detection the maximum value points of moulds under the restriction of certain threshold, combined with different scales of intbrnmtion to get the final edge image through the certain rules. Experi- mental resuhs show that the proposed algorithm can suppress noise effectively, recognize edge reliably and detect detail accurately. So it is an effective method.