基于Prewitt算子和邓氏关联度的图像边缘检测算法  

Algorithm of image edge detection based on Prewitt operator and Deng interrelatedness

作　　者：薛文格[1] 周万府[1] 

机构地区：[1]楚雄师范学院计算机科学系,云南楚雄675000

出　　处：《楚雄师范学院学报》2011年第9期6-10,共5页Journal of Chuxiong Normal University

基　　金：楚雄师范学院学术后备人才资助项目(09YJRC14)

摘　　要：边缘是图像最重要的特征之一,其检测的好坏对图像的识别和分割的效果有直接的影响,本文探讨了传统的Prewitt算子和灰色关联度在边缘检测中的应用情况,提出并实现了一种将Prewitt算子和邓氏关联度相结合的边缘检测方法。实验表明,该方法提取的边缘较完整、连续性好、非边缘点少,为图像边缘检测探索了一种新的途径和方法。Edges is the most important feature of the image. The quality of image edge has a di- rect impact on the results of image recognition and segmentation. The application of traditional Pre- witt operator and gray relational grade in edge detection was discussed, and a method of image edge detection combining Prewitt operator with Deng interrelatedness was proposed and implemented this paper. The experiment proves that edge extracted tion and consecutiveness and fewer non - edge points. by the combining method show more comple- This paper explore a new method for image edge detection.

关 键 词：图像边缘检测算法 PREWITT算子 灰色关联度 边缘检测方法 连续性 边缘点 分割 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]