A new region-based segmentation method for complex document image analysis. (7th February 2006)

• Record Type: Journal Article
• Authors: Wu, Bing-Fei; Chen, Yen-Lin; Chiu, Chung-Cheng
• Is Part Of: International journal of computational science and engineering. Volume 1:Number 1(2005)
• Page Start: 34
• Page End: 44
• Publication Date: 2006-02-07
• Subjects: image segmentation -- document analysis -- localised histogram analysis -- multilevel thresholding -- region-based clustering -- text extraction -- image analyis -- document images; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

Abstract

In this paper, a new region-based segmentation method is proposed for resolving issues associated with the complexity of backgrounds of complex document images. The proposed method processes the document image regionally and adaptively according to local features using two stages. First, an automatic localised multilevel thresholding method is utilised to recursively segment a specified block region into several layered image sub-blocks. Then the multi-layer region-based clustering is performed to aggregate layered image sub-blocks with homogeneous features into associated object layers. Experiment results on text extraction from complex document images demonstrate the effectiveness of the proposed method.