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| 图像边缘检测算法的设计和研究 | |
| 引用本文： | 陈强,张小林,王耀文. 图像边缘检测算法的设计和研究[J]. 现代电子技术, 2012, 35(11): 61-63 |
| 作者姓名： | 陈强 张小林 王耀文 |
| 作者单位： | 1. 西北工业大学,陕西西安,710072 2. 西北工业大学,陕西西安710072;西北工业大学第三六五所,陕西西安710072 3. 中国人民解放军96669部队,北京,102208 |
| 摘 要： | 针对经典的边缘检测算法均涉及梯度的运算，存在对噪声敏感、计算量大等缺点的问题，为了找到一种检测效果好、计算量相当的图像边缘算法，提出了只基于对周边像素的灰度比较，完全不涉及梯度运算的SUSAN算法。主要研究了SUSAN算法，并比较了主流的Prewitt算子，Gauss—laplace算子，Canny算子的边缘检测算法，经Matlab仿真实验后，确定该算法不需要计算微分，计算量小，进一步减少了噪声的影响，且SUSAN算子控制参数的选择很简单，任意性较小，所以比较容易实现自动化的选取，是一种非常有效的算法。 |
| 关 键 词： | 边缘检测 SUSAN算法 Prewitt算子 Gauss—laplace算子 Canny算子 |
Design and research of image edge detecting algorithm |
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| CHEN Qiang , ZHANG Xiao-lin , WANG Yao-wen. Design and research of image edge detecting algorithm[J]. Modern Electronic Technique, 2012, 35(11): 61-63 | |
| Authors: | CHEN Qiang ZHANG Xiao-lin WANG Yao-wen |
| Affiliation: | 1,3(1.Northwestern Polytechnical University,Xi’an 710072,China;2.365 Institute,Northwestern Polytechnical University,Xi’an 710072,China; 3.Unit 96669 of PLA,Beijing 102208,China) |
| Abstract: | Since the classic edge detection algorithm is involved in the computation of the gradient,is sensitive to noise,and has a large amount of computation,the SUSAN algorithm that is only based on compared neighboring pixel grayscale,but is not involved in gradient operation at all is proposed to realize an effective edge detection which has a small amount of calculation.The SUSAN algorithm is compared with other main edge detecting algorithms such as the Prewitt algorithm,the Gauss-Laplace algorithm and the Canny algorithm.The Matlab simulation experiments indicate that the SUSAN algorithm does not need to calculate the differential,has a small amount of calculation and reduces the noise impact.The selection of the SUSAN algorithm to control parameters is simple,so it is easy to achieve automation selection.It is a very effective algorithm. |
| Keywords: | edge detection SUSAN algorithm Prewitt operator Gauss-Laplace operator Canny operator |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |