Multiple Camouflage Breaking by Co-Occurrence and Canny

Camouflage is the art of disguising an object to blend an object in a very similar background, Recognizing and visualizing the location of camouflaged target could be to a certain extent not easy problem, since a sophisticated human vision system also fails to achieve superior efficiency in discrimination. The primary goal of the research work is to detect such multiple camouflaged target because of matching background and different color combinations for images. Camouflage is an attempt to obscure the signature of a target and sublimate the target in its background frame in terms of texture properties. Since the texture similarity between the background and the target is the premise for accomplishing camouflage, we believe that an intensive texture analysis should be able to discriminate target from its background. In this paper we have proposed to apply Co-occurrence matrix based texture analysis. Experimentation on the synthetic images substantiate the potential of the method. Extensive mathematical concepts of Matrix operations are to derive the texture parameters in order to investigate the targets. Eventually using Canny Operator to bring up the edges of objects, which are the camouflaged.