计算机科学 ›› 2013, Vol. 40 ›› Issue (3): 302-304.

• 图形图像与模式识别 • 上一篇    下一篇

融合SUSAN算法和Robert算法的图像边缘检测滤波处理技术

章慧,陈宏明   

  1. (淮阴工学院计算机工程学院 淮安223003)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Hybrid SUSAN Algorithm and Robert Algorithm for Image Edge Detection Filtering Technique

  • Online:2018-11-16 Published:2018-11-16

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算法对阂值的选择比较难,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。

关键词: SUSAN算法,边缘检测,均值滤波,Robert算法

Abstract: 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 matcking 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.

Key words: SUSAN algorithm, Edge detection, Mcan filter, Robert algorithm

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