Morphological Edge Detector with Genetic Algorithm Optimizing

The aim of image edge detection is usually to use images to sketch pictures to express the features and outlines of objects. Its task is to locate image edges exactly and reduce its noise. A new morphological Top-hat operator with genetic algorithm is pre-sented in this paper. The experimental results show that the detector proposed in this paper can considerably reduce noise in most remote sensing images and accurately extract the edge of images. Compared with the conventional detector, it is more feasible for noisy image processing.