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复杂色彩单帧图像中的文字提取
引用本文:刘世与,曹作良.复杂色彩单帧图像中的文字提取[J].天津理工大学学报,2007,23(6):58-61.
作者姓名:刘世与  曹作良
作者单位:天津理工大学,机械工程学院,天津,300191
摘    要:本文依据图像中文字与其背景存在的色彩差异,提出从复杂色彩单帧图像中提取文字的新算法.对彩色图像在HSV颜色空间进行色彩聚类形成颜色图层,再通过投影算法将颜色图层进一步细分为子图层进行图层分析,最后通过子图层合并产生备选文字图层.实验结果表明,本算法能够良好地从各种复杂颜色背景中提取垂直或平行于图像边缘的单色文字.

关 键 词:模式识别  颜色聚类  图像分割  文字提取
文章编号:1673-095X(2007)06-0058-04
收稿时间:2006-09-12
修稿时间:2006年9月12日

Single frame characters extraction in complex chromatic image
LIU Shi-yu,CAO Zuo-liang.Single frame characters extraction in complex chromatic image[J].Journal of Tianjin University of Technology,2007,23(6):58-61.
Authors:LIU Shi-yu  CAO Zuo-liang
Abstract:This paper proposes a new algorithm of character extraction in complex chromatic image based on color difference between the characters and the background.The color layer is firstly clustered in HSV color space from the chromatic image.Then the sub layers are divided through the projection algorithm from the color layers.Further,whether the sub layers contain characters are analyzed.After combining the sub layers which contain the characters,the character layers are finally emerged.The experimental results show that the proposed algorithm has the ability to extract characters in the complex chromatic image.
Keywords:pattern recognition  color clustering  image partition  characters extraction
本文献已被 CNKI 维普 万方数据 等数据库收录!
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