首页 | 官方网站   微博 | 高级检索  
     

一种有效的视频文字提取方法
引用本文:田破荒,李弼程,彭天强.一种有效的视频文字提取方法[J].电视技术,2007,31(10):87-89.
作者姓名:田破荒  李弼程  彭天强
作者单位:信息工程大学,信息工程学院,河南,郑州,450002
摘    要:根据文字区域内集中分布着短小的水平垂直边缘,而背景区的边缘则比较粗、比较长的特征,提出一种视频文字提取方法.它使用相关熵二值化和形态学膨胀获得候选文字区,然后提取候选区域的变异直方图,根据该直方图获得精确的文字区.选用不同视频截图实验,结果表明该方法简单,具有较高的正确率、精度和鲁棒性.

关 键 词:视频文字提取  Sobel算子  相关熵二值化  形态学膨胀  变异直方图
文章编号:1002-8692(2007)10-0087-03
修稿时间:2007-07-16

Efficient Approach of Video Text Retrieval
TIAN Po-huang,LI Bi-cheng,PENG Tian-qiang.Efficient Approach of Video Text Retrieval[J].Tv Engineering,2007,31(10):87-89.
Authors:TIAN Po-huang  LI Bi-cheng  PENG Tian-qiang
Affiliation:Department of Information Science, School of Information Engineering, Information Engineering University, Zhengzhou 450002, China
Abstract:According to characters that short vertical and horizontal edges mix together in text area while edges in background are thick and long, a segmentation algorithm for segmenting text from video frames is presented. The method gets potential text areas using relative entropy-based threshold and expansion in mathematical morphology. The gained varied gray-scale histograms of potential areas are involved to refine the text areas. Experiments on different Video segmentations prove the simplicity, high-accuracy, and robustness of this method.
Keywords:video text retrieval  Sobel operator  relative entropy-based threshold  morphological dilation  varied gray-scale histogram
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号