Open AccessApplying morphology to improve Canny operator's image segmentation method
Author(s) -
Xu Hongyun,
Xu Xiaoli,
Zuo Yunbo
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.9113
Subject(s) - artificial intelligence , image segmentation , canny edge detector , computer vision , image gradient , scale space segmentation , computer science , binary image , segmentation based object categorization , segmentation , image (mathematics) , range segmentation , deriche edge detector , region growing , pattern recognition (psychology) , edge detection , morphological gradient , image processing , image texture
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.