An analysis of SOBEL and GABOR image filters for identifying fish

This paper deals in classifying shark fishes using the Edges characterize boundaries. It is a problem of fundamental importance in detecting the type of shark fish in the deep sea. The edge detection is in the head of computer vision system for recognition of objects and estimate it is critical to have a good perceptive of edge detection techniques. In this paper the comparative analysis of various Image Edge Detection techniques are considered. The proposed work was tested in MATLAB tool. It has been shown that the Gabor´s filter performs better than Sobel filter.