Applying morphology to improve Canny operator's image segmentation method

作     者：Xu, Hongyun Xu, Xiaoli Zuo, Yunbo 

作者机构：Beijing Informat Sci & Technol Univ Key Lab Modern Measurement & Control Technol Minist Modern Educ Beijing 100192 Peoples R China Beijing Inst Technol Sch Mech Engn Beijing 100081 Peoples R China 

出 版 物：《JOURNAL OF ENGINEERING-JOE》 

年 卷 期：2019年第2019卷第23期

页      面：8816-8819页

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 

基　　金：National Natural Science Foundation 

主　　题：edge detection wind turbines blades image segmentation Canny algorithm processing redundant edge information complete fan blade image segmentation effect Canny operator single image segmentation method wind turbine blade images complex background image segmentation algorithm Canny edge detection morphological opening binary image 

摘      要：When a single image segmentation method is used for image segmentation of wind turbine blade images under a complex background, the results obtained are not accurate and complete. This article proposes an image segmentation algorithm that applies morphology to Canny edge detection. It uses morphological opening to erode and dilate the binary image after Canny algorithm processing, and removes redundant edge information to obtain a complete fan blade image. Experimental results show that the results obtained by the image segmentation method proposed here have good integrity and accuracy, and can improve the segmentation effect of the image.