Studies on wheat pests image segmentation based on variational level set

Authors:
Jian Li;Lijuan Wang;Yi Li
Affiliations:
College of Information and Electric Engineering, Shaanxi University of Science & Technology, Xi'an, China;College of Information and Electric Engineering, Shaanxi University of Science & Technology, Xi'an, China;Unified Communication Development Department, Huawei Xi'an Institute, Xi'an, China
Venue:
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Year:
2012

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Abstract

In order to get better wheat pests outline, wheat pests image is segmented by variational level set method in this paper. This kind of level set function corrects the deviation between the level set function and the signed distance function, and it needn't re-initialization during the evolution, so it completely eliminates the procedure of level set re-initialization and improves the efficiency of image segmentation. The effectiveness of this method is verified by MATLAB simulation experiments.