Segmentation and Understanding of Color Magazine Images

• Main Authors: Lin, Shin-Ching, 林士敬
• Other Authors: Wen-Hsiang Tsai
• Format: Others
• Language: zh-TW
• Published: 1996
• Online Access: http://ndltd.ncl.edu.tw/handle/33540217333715434546

碩士 === 國立交通大學 === 資訊科學學系 === 84 === An intergrated approach to segmentation and understanding of color magazines is proposed. First, a dynamic-cut color quantization method is proposed, which can be used to classify color image contents into more reasonable classes. For block segmentation, an new algorithm is proposed to grow neighboring pixels with indentical colors into blocks more efficiently. After block extraction, several features are used to classify extracted blocks into text blocks and graphic blocks. For construction of blocks magazine images which usually have complicated background, improved methods for merging textblocks into text areas and graphic blocks into graphic areasare also proposed.These classified areas are then used to analyze the document layout. The printorientation of the document is detected according to the print orientation ofmost textline blocks. Methods for finding titles, abstracts, section titles, section texts, headers, footers, page numbers, and captions of graphics inmagazines are proposed. For multiple-page documents, methods for linking textcontents and graphics which are in adjacent pages are also proposed.Experimental results are shown to prove the feasibility of the proposedapproach.