关键词: 图像处理, 边缘检测, S变换

Abstract: To reduce the effect of the noise on edge detection, an improved algorithm of edge detection is proposed based on S-Transform. The S-Transform（ST） is a time-frequency analysis tools and has ability to detect the singularities and irregular structures in signals which often carry the most important information in signals. In images, the singularities of the intensity indicate the edge. Multiplying the S-Transform coefficients in the adjacent frequencies can depress the noise and enhance the edges effectively, and then a method is proposed to calculate the proper threshold to find the real edge in the coefficients. Finally, a scheme is designed to synthesis the two edge maps obtained in two orthometric directions. A set of the experiments demonstrate the effective of the approach.

Key words: image processing, edge detection, S-Transform（ST）