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- W2363849595 abstract "On the basis of active contour model, we introduce a new region-based energy criterion- non-parametric 2D entropy. In this new external energy, 2D grayscale histogram is used to obtain the prior probability of the pixels in the image, and non-parametric techniques are used to obtain the conditional probability, which is the element of entropy. This new active contour model can effectively accomplish the segmentation of homogenous objects that contain noise and pseudo edges. Furthermore, by the non-parametric method and the settlement of the problems with self-intersection, we can segment more complex inhomogeneous objects (such as human face). Experimental results have shown the effectiveness of the proposed model." @default.
- W2363849595 created "2016-06-24" @default.
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- W2363849595 date "2005-01-01" @default.
- W2363849595 modified "2023-09-28" @default.
- W2363849595 title "Active Contour Model Based on Non-Parametric 2D Entropy" @default.
- W2363849595 hasPublicationYear "2005" @default.
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