期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2011
卷号：2
期号：2
页码：691-693
出版社：TechScience Publications
摘要：Edge detection from images is one of the most important concerns in digital image and video processing. 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 etc. 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 topographic image enhancement applications use edge detection as a preprocessing stage for feature extraction. Topographic images can be distorted with point noise. Due to the overlapping of regions, well known edge detection algorithms are not capable to extract all edges. The real problem is how to enhance noisy topographic images and simultaneously extract the edges. It consists of the implementation of various image processing algorithms like edge detection using Sobels, Prewitt, Canny and Laplacian and so on. Different technique is reported to increase the performance of the edge detection. The algorithmic computations in real-time may have high level of time based complexity and Image processing system for the implementation Canny’s edge detector is proposed here.
