題名: Moment-preserving techniques in image processing-a survey and new approaches 作者: L. H. Chen;W. H. Tsai
貢獻者: Department of Information Communication
關鍵詞: EDGE DETECTION;IMAGE PROCESSING;DATA COMPRESSION;OPERATORS (MATHEMATICS);PIXELS
日期: 1989-09
上傳時間: 2009-11-25T02:30:51Z 出版者: Asia University
摘要: A class of new image processing methods, called moment-preserving techniques that have been recently developed, are surveyed. A known number of image processing techniques based on the principle of moment-preserving are reviewed, including moment-preserving thresholding, block truncation coding, and subpixel edge detection. Finally, seven new algorithms are described: moment-preserving sharpening, curved edge location to subpixel accuracy, moment-preserving line detection, moment-preserving curve detection, moment-preserving clustering, moment-preserving corner detection, and moment-preserving edge detection. In these algorithms a common step is found, preserving the first two to five moments to obtain analytic equations to help in deriving partial solutions deterministically.
