Fast extended active contours model without edges
Author: 
He RuiyingAuthors Info & Claims
He RuiyingAuthors Info & ClaimsArticle No.: 312, Pages 1 - 6
Abstract
The traditional active contours model without edges (CV model) can not deal with the image with intensity inhomogeneity. Extended active contours model without edges (ECV model) can solve the problem by utilizing image edge information. However, the ECV model still has the disadvantages of slow evolution speed and poor noise resistance. This paper simplifies the ECV model and changes the driving force by simplifying partial differential equation into ordinary differential equation. The experimental results show that the new model is not sensitive to the initial contour of the evolution curve, and can segment the images that can be segmented by ECV model faster, and the robustness to noise is stronger than that of ECV model.
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Published In
May 2021
2053 pages
ISBN:9781450390200
DOI:10.1145/3469213
Copyright © 2021 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 18 August 2021
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ICAIIS 2021
ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems
May 28 - 30, 2021
Chongqing, China
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