Chennamsetty Pulla Rao1, Dr. A Guruva Reddy2 and Dr. C.B. Rama Rao3
1Jawaharlal Nehru Technological University, 2MIC College of Technology and 3National Institute of Technology, India
Target detection is a challenging problem having many applications in defense and civil. Most of the targets in defense are camouflaged. It is difficult for a system to detect camouflaged targets in an image. A novel and constructive approach is proposing to detect object in camouflage images. This method uses various methodologies such as 2-D DWT, gray level co-occurrence matrix (GLCM), wavelet coefficient features, region growing algorithm and canny edge detection. Target detection is achieved by calculating wavelet coefficient features from GLCM of transformed sub blocks of the image. Seed block is obtained by evaluating wavelet coefficient features. Finally the camouflage object is highlighted using image processing schemes. The proposed target detection system is implemented in Matlab 7.7.0 and tested on different kinds of images.
Canny edge detection, Region growing, seed block, Wavelet decomposition
