摘要
研究了图像边缘检测算法并进行了滤波处理。由于传统的SUSAN算法对阈值的选择比较难,难以得到更多的图像信息,因此提出了一种基于Robert图像边缘检测技术的改进型算法,其融合了SUSAN特征点匹配技术,同时采用均值滤波算法去除图像检测过程中的噪声,最后采用图像细化方法对图像进行细化处理。经仿真实验表明,提出的改进算法能够有效地对图像进行检测,降低了算法的复杂度。
This paper studied the algorithms of image edge detection and filtering processing. Because the traditional SUSAN algorithm for threshold selection is difficult to get more information of the image, this paper put forward a Robert based on image edge detection technology improved algorithm, which combines with SUSAN feature point matc- hing technology,at the same time, uses average filtering algorithm to remove the noise in image detection process, and finally uses the image thinning method to do image refining processing. The simulation results show that the proposed algorithm can effectively detect the image and reduce the complexity of the algorithm.
出处
《计算机科学》
CSCD
北大核心
2013年第3期302-304,共3页
Computer Science
