DocumentCode
1903154
Title
Text Segmentation from Image with Complex Background Based on Markov Random Fields
Author
Li, Minhua ; Bai, Meng
Author_Institution
Dept. of Electr. Eng. & Inf. Technol., Shandong Univ. of Sci. & Technol., Jinan, China
Volume
3
fYear
2012
fDate
23-25 March 2012
Firstpage
486
Lastpage
489
Abstract
Text contained in images and video frames provide an important clue for content based images and video indexing. However, it is difficult to segment text from images with complex background. This paper proposes a new proposal for text segmentation from images with complex background based on Markov random field. Experimental results demonstrate the performance of the proposed method.
Keywords
Markov processes; document image processing; image segmentation; indexing; random processes; text analysis; Markov random fields; complex background; content based images; text segmentation; video frames; video indexing; Computational modeling; Feature extraction; Image color analysis; Image segmentation; Markov random fields; Pattern recognition; Training; Markov random field; complex background; text segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-0689-8
Type
conf
DOI
10.1109/ICCSEE.2012.404
Filename
6188220
Link To Document