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arxiv 2311.08284 v1 pith:OZTGYBO2 submitted 2023-11-14 cs.CV eess.IV

Level Set KSVD

classification cs.CV eess.IV
keywords ksvdlevel-setimageimagesmethodsmodelsegmentationaerial
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present a new algorithm for image segmentation - Level-set KSVD. Level-set KSVD merges the methods of sparse dictionary learning for feature extraction and variational level-set method for image segmentation. Specifically, we use a generalization of the Chan-Vese functional with features learned by KSVD. The motivation for this model is agriculture based. Aerial images are taken in order to detect the spread of fungi in various crops. Our model is tested on such images of cotton fields. The results are compared to other methods.

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