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Efficient page layout analysis on small devices
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作者 Eun-jung HAN Chee-onn WONG +2 位作者 Kee-chul JUNG Kyung-ho LEE Eun-yi KIM 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2009年第6期800-804,共5页
Previously we have designed and implemented new image browsing facilities to support effective offline image contents on mobile devices with limited capabilities: low bandwidth, small display, and slow processing. In ... Previously we have designed and implemented new image browsing facilities to support effective offline image contents on mobile devices with limited capabilities: low bandwidth, small display, and slow processing. In this letter, we fulfill the automatic production of cartoon contents fitting small-screen display, and introduce a clustering method useful for various types of cartoon images as a prerequisite stage for preserving semantic meaning. The usage of neural networks is to properly cut the various forms of pages. Texture information that is useful for grayscale image segmentation gives us a good clue for page layout analysis using the multilayer perceptron (MLP) based x-y recursive algorithm. We also automatically frame the segment MLP using ag-glomerative segmentation. Our experimental results show that the combined approaches yield good results of segmentation for several cartoons. 展开更多
关键词 页面布局 屏幕显示器 装置 信件 科学 聚类分析方法 图像分割 自动化生产
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