Applying morphology to improve Canny operator's image segmentation method

• Main Authors: Hongyun Xu, Xiaoli Xu, Yunbo Zuo
• Format: Article
• Language: English
• Published: Wiley 2019-12-01
• Series: The Journal of Engineering
• Subjects: 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
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9113

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.