Adaptive order morphology edge detection

In this paper, we present an edge detection model by combining order morphology transformation and anti-noise morphology transformation. In the model, we construct three kinds of edge detection operators and apply them in edge detection of some gray images and some urban satellite images with different levels of salt and pepper noise, gaussian noise and mixed noise. The experiment results show that less than 30% noise the edge detection effect by our model is better than that by canny operator and the general order morphology transformation. The conclusion is that our model is feasible for edge detection of the gray image and the satellite remote sensing images.