舰船电子工程2019，Vol.39Issue(7)：105-107,156,4.DOI:10.3969/j.issn.1672-9730.2019.07.025
联合K-means和形态学算子的图像边缘检测
Image Edge Detection of Joint K-means and Morphological Operator
摘要
Abstract
Aiming at the shortcoming of edge localization accuracy of traditional edge detection operator,an edge detection method based on K-means and morphological operator is proposed. Firstly,the image is segmented by K-means algorithm,and then the segmented image is inverted. Then,the internal pixel of the image is dug by using morphological corrosion. Finally,the edge image is obtained by subtracting the segmentation image and the image of morphological corrosion. The experimental results show that the proposed method can obtain the accurate edge of the image effectively,and has better detection effect than other tradi?tional methods.关键词
边缘检测/K-means算法/图像分割/形态学腐蚀Key words
edge detection/K-means algorithm/image segmentation/morphological erosion分类
信息技术与安全科学引用本文复制引用
王益艳,于贵..联合K-means和形态学算子的图像边缘检测[J].舰船电子工程,2019,39(7):105-107,156,4.基金项目
四川省教育厅科研项目(编号:18ZB0509) （编号:18ZB0509）
达州市科技计划应用基础研究项目(编号:KJJ2015001) （编号:KJJ2015001）
四川文理学院重点科研项目(编号:2017KZ003Z)资助. （编号:2017KZ003Z）
