期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2006
卷号：6
期号：9A
页码：211-215
出版社：International Journal of Computer Science and Network Security
摘要：The extraction of features such as edges and curves from an image is useful for many purposes. Features, such as edges and curves are useful in i) texture analysis ii) 3-D surface restructuring iii) segmentation iv) image matching. Edges are important features in an image since they represent significant local intensity changes. They provide important clues to separate regions within an object or to identify changes in illumination. Most remote sensing applications use edge detection as a preprocessing stage for feature extraction. Real images, such as remote sensing images, can be corrupted with point noise. The real problem is how to enhance noisy remote sensing images and simultaneously extract the edges. Using the implemented Canny edge detector for features extraction and as an enhancement tool for remote sensing images, the result was robust with a very high enhancement level. Otherwise, the idea of using both intensities and spa?tial information has been considered to take into account local information used in human perception. The approach proposed here is strongly related to this idea. The search strategy is based on a Genetic Algorithm (GA) that allows us to find suitable approximated solutions treating the prob?lem as a global optimization technique
