Text Segmentation from Image with Complex Background Based on Markov Random Fields

摘要：

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.

关键词： text segmentation Markov random field complex background

作者: Minhua Li Meng Bai

作者单位: Department of Electrical Engineering and Information Technology, Shandong University of Science and Department of Electrical Engineering and Information Technology Shandong University of Science and T

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 486-489

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）