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《Computer Engineering》 2009-04
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Video Text Segmentation Algorithm Based on Stroke Extraction and Color Model

CHENG Hao1,HUANG Lei2,LIU Jin-gang1(1.Join Faculty of Computer Scientific Research,Capital Normal University,Beijing 100037;2.Institute of Automation,Chinese Academy of Sciences,Beijing 100080)  
This paper presents a segmentation algorithm which comprehensively utilizes various attributes of video texts,such as temporal and spatial,strokes,color,geometric.The algorithm uses multi-frame integration to enhance the images,performs the stroke operator to extract the character strokes based on the feature of the stroke width,analyses the color of the character strokes according to the stroke image and extracts the color layer of the character,removes the background with the same color and noises in the color layer of the character by the improved connected components analysis.Experimental results indicate that the proposed algorithm preferably solves the text segmentation problem which involves in a complex background,and its performance precedes that of the traditional method.
【Fund】: 国家“863”计划基金资助项目(2007AA01Z174)
【CateGory Index】: TP391.41
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