计算机工程与应用Issue(19)：158-161,4.DOI:10.3778/j.issn.1002-8331.1201-0036
基于S变换的图像边缘检测算法研究
Research of image edge detection based on S-Transform
摘要
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 effec-tively, 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.关键词
图像处理/边缘检测/S变换Key words
image processing/edge detection/S-Transform(ST)分类
信息技术与安全科学引用本文复制引用
杨涛,孙国霞,段修满..基于S变换的图像边缘检测算法研究[J].计算机工程与应用,2013,(19):158-161,4.基金项目
山东省中青年科学家奖励基金（No.BS2010DX019）；国家自然科学基金（No.61001180）。 （）
