Evaluation of edge detection operators on the water area discovery task

Image edges are considered to be a type of important information that can be extracted by applying detectors with different methodologies. Edge detection is a major and important topic in computer vision and image processing. The technique of detecting edges in an image serves as a step for pre-processing many image processing algorithms, such as image enhancement, image segmentation, image tracking and encoding [10]. Edge detection is at the heart of all stages in image processing and object recognition. It is a process of identifying and locating abrupt breaks in the image, where the breaks represent changes in the intensity of the pixels that make up the boundaries of the objects in the image. There are a number of edge detection techniques, each of which is designed to be sensitive to certain types of edges. This article presents some of them, then analyzes the errors that may occur. The implementation is made on the software product MATLAB.