Abstract
An improved watershed algorithm based on fuzzy threshold was proposed for the over-segmentation of watershed images due to their sensitivity to detail and noise. Firstly, the noise is suppressed by median filtering, and the image is preprocessed with multi-fuzzy threshold segmentation technology to obtain the obvious gray image of the edge region. Then, the main contour of the image is extracted by the fuzzy threshold algorithm. Finally, the image is segmented again by the watershed algorithm. Experimental results show that the new algorithm is much better than the traditional watershed algorithm and can effectively solve the over-segmentation problem of watershed algorithm. The segmentation results are more consistent with the visual characteristics of human beings, and it is an effective, accurate and practical image segmentation method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
