This work deals with textural segmenting of high resolution sidescan sonar images by using active contours and Gabor filters. In fact this method is a modification of Chan and Vese Active contour model. It makes the method suitable for textural segmenting of above said images. First, image is passed through a symmetric bank of Gabor filters. Then, filtered images that possess a significant component of the original image are subjected to morphological closing operator. At the end, we use multi channel C-V active contour model for segmenting areas with different textures. Results of the proposed method are presented for different real and simulated sidescan sonar images to demonstrate the robustness of it.
['Kaveh Samiee', 'G. A. Rezai Rad']
Textural Segmentation of Sidescan Sonar Images Based on Gabor Filters Bank and Active Contours without Edges