文章基本信息

标题：AN ADAPTIVE-TRIANGLE METHOD FOR BINARY IMAGE CONTOUR DATA APPROXIMATION
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作者：MAJDI FARAG MOHAMMED EL BIREKI ; RUQIYA M ALBAHI ALI ; ALI ABDRAHMAN M UKASHA 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：81
期号：2
出版社：Journal of Theoretical and Applied
摘要：This paper presents a new efficient algorithm for contour approximation and compression. The single step parallel contour extraction (SSPCE) method will be used in this work to achieve Cartesian representation of the object. We also discuss the main idea of the analyzed approach to obtain contour approximation and we will compare it with the Ramer and Trapezoid methods of contour approximation. For comparison, we are going to use the mean square error and signal-to-noise ratio criterions. Experimental results are obtained both in terms of image quality, compression ratios and speed. The main advantages of the analyzed algorithm are the short computational time of operations and good quality of approximation.
关键词：Contour Representation; Contour Compression; Polygonal Approximation; Ramer; Triangle and Trapezoid Methods