The application of wavelet transforms and mathematics morphology on the processing of infrared satellite cloud image

摘要

It is difficult to segment and detect the boundary of cloud images because of the complicated and various shapes and blurry edges of cloud. In this paper, we present an idea and a set of realizable design about self-adaptive segmentation by means of mathematical morphology firstly. Then, we proposed a boundary detection method base on wavelet transform. Some practices show that the segmentation models are self-adaptive, the whole processing system is general and the algorithm is high efficient in the processing of infrared satellite cloud image.