AUTOMATIC REPRESENTATION OF BINARY IMAGES

被引：28

作者：

CABRELLI, CA ^{[1
]}

MOLTER, UM ^{[1
]}

机构：

[1] UNIV WATERLOO,DEPT APPL MATH,WATERLOO N2L 3G1,ONTARIO,CANADA

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1990年 / 12卷 / 12期

关键词：

Boundary extraction; character description; computational vision; contour-following; control and singular points; curve fitting; curve recognition; segmentation; shape description;

D O I：

10.1109/34.62608

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this correspondence we propose a method to represent black and white images through the description of the boundaries of the objects that define such images. In order to obtain such a representation, this method uses several algorithms which perform boundary extraction, contour following, segmentation, pattern classification, and curve fitting. One of the great advantages of this method is that the image can be reconstructed at any size. It can also be rotated or translated without losing any quality. In addition to achieving a good data compression rate the coding-decoding process is computationally very efficient We also show the application of these algorithms to characters in order to obtain downloadable fonts for modern laser printers. © 1990 IEEE

引用

页码：1190 / 1196

页数：7