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In this paper, we propose a novel region-based active contour model for image segmentation. Our model incorporates the global and local information in the energy function, enabling efficient segmentation of images while accounting for intensity in homogeneity. Another interesting property of the proposed model is its convexity, making it independent of the initial condition and hence ideal for an...
In this paper, a new region-based active contour model using a variational level set formulation is proposed for image segmentation. The model is based on curve evolution, local statistical function and level set method. The energy function for the proposed model consists of two components: global component and local component. By introducing the local term, the images with intensity inhomogeneities...
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