Applications of soft mathematical morphology in image processing

The enhancement, segment and edge detection of infrared images are one of the key techniques in precise guidance. It owns strong application background and is studied widely. The soft mathematical morphology can compress the noise effectively, get better processing results and complete processing in real time. So it is well adapted to infrared images processing. In this paper, we analyzed and discussed the applications of soft morphology theory in infrared ship image. We listed some processing results of applications of soft mathematical morphology in enhancement, segment and edge detection of IR image. We also compared the algorithm with other traditional image processing algorithms such as Histogram equalization enhancement, Otsu threshold method segment and Robert, Sobel operator edge detection. All the images processing were simulated by MATLAB software. We discussed the merits and the shortcomings of the algorithm by the processing results. The simulation results illustrate that the algorithm is better than other traditional operators and can satisfy the requirements of the IR image processing.