Fast and Modified Image Segmentation Method Based on Active Contours and Gabor Filter

This work deals with fast segmentation of images by using active contours and Gabor filters. In fact this method is a modification of Chan and Vese active contours without edges model. The factors of modification are number of iterations, time of processing and also making the basic model suitable for segmenting noisy images or detecting objects in images with a texture in background. The image is passed through a symmetric bank of Gabor filters and filtered images that possess a significant component of the original image, are then subjected to Multi channel C-V active contours model. Results of the proposed method are presented for different kind of images to demonstrate the robustness of this method.