Clustering based segmentation of text in complex color images |
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Authors: | MAO Wen-ge WANG Hong-bin ZHANG Tian-wen |
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Affiliation: | Dept.of Computer Science and Technology,Harbin Institute of Technology,Harbin,150001,China;Dept.of Mathematics,Harbin Institute of Technology,Harbin,150001,China |
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Abstract: | We propose a novel scheme based on clustering analysis in color space to solve text segmentation in complex color images. Text segmentation includes automatic clustering of color space and foreground image generation. Two methods are also proposed for automatic clustering: The first one is to determine the optimal number of clusters and the second one is the fuzzy competitively clustering method based on competitively learning techniques. Essential foreground images obtained from any of the color clusters are combined into foreground images. Further performance analysis reveals the advantages of the proposed methods. |
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Keywords: | Text segmentation Fuzzy competitively clustering Optimal number of clusters Foreground images |
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