Image Segmentation using Level Set Evolution Driven by Complex Wavelets
Ganta Raghotham Reddy, B. Narsimha, Bignaraj Naik, R. Varaprasada Rao · Indian Journal of Science and Technology · 2016
Level set segmentation is an efficient tool for segmenting the images by evolving the level curves. By means of region based image segmentations, the region of object is given more importance over edge information. In this paper a new region based level set is formulated with the direction and evolution flow of contour will be controlled by the complex wavelets. Real and imaginary parts of wavelet decomposition are taken into consideration in defining the new signed pressure force henceforth the level set formulation which leads to faster and accurate image segmentation. This method has been successfully implemented on biomedical and satellite images and proves better over the conventional methods.Keywords: Active Contours and Image Segmentation, Complex Wavelets, Hilbert Transform, Level Sets