Image Segmentation of Homogeneous Intensity Regions using Wavelets based Level Set

This paper proposes an image segmentation method that integrates a wavelets feature, which is able to enhance the dissimilarity between regions with low variations in intensity. This feature is integrated to formulate a new level set based active contour model that addresses the segmentation of regions with highly similar intensities, which do not have clear boundaries between them. In the first phase, the strength of wavelet transform will be adapted to formulate wavelet energies. The second phase will be dedicated to regularize a new wavelets based level set formulation. This formulation is composed of two terms that guide the contour, the wavelet energy incorporated region term and the contour smoothness term. This approach is useful and suitable for segmentation of regions within an image with improper boundaries.

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