文章基本信息

标题：Parameter less Active Contour Algorithm for Segmentation and Compressing Computer Screen based Compound Images
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作者：K. Kalpana ; G.Shopia Reena
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：9-3
出版社：Seventh Sense Research Group
摘要：Computer Screen Image based Compound images that contains text, graphic and natural images. Computer screen Realtime image transmission requires that the compression algorithm should achieve high compression ratio, low complexity and also provide excellent visual quality. The quality requirement of compound image coding is because users cannot accept the quality if text different from general image coding is not clear enough to recognize. This paper proposes an algorithm to classify and compress the compound images as text, image and background blocks. Active contour algorithm first segments a computer screen images image into text block, back ground block and image block, and. Compresses the text and background block with a RunLengthEncodig lossless coding algorithm and the image block with the standard JPEG, respectively.
关键词：Compound Images; Classification; Segmentation; Computer Screen Images; Block based; Compression