Abstract
Camouflage is an important issue of modern military. Besides visual spectrum, it is also considered in acoustic, the electromagnetic spectrum, thermal and shape. To counteracting various detection systems, most researches are devoted to develop materials that suppress or adjust object’s radiation. Visual concealments are usually some kinds of fixed patterns or average color of the surroundings. Our previous work had constructed an active visual camouflage system, which can change the camouflage patterns as changes occur in the background. But we encountered great difficulties in estimating the foreground and the background depth. In this thesis, we solve the problem by defining the effective range of camouflage and finding the most appropriate patch for camouflage within the range. Information of observer’s depth is then no longer indispensable. We also propose a method, which extracts the dominant texture of the background for camouflage. Two masks utilizing information of chroma and intensity of background image are involved to preserve regions belonging to dominant texture and to filter unwanted object in the image. This method is useful when it lacks observer’s information.