[1]黄剑华,唐降龙,刘家锋,等.一种基于Homogeneity的文本检测新方法[J].智能系统学报,2007,2(1):69-73.
HUANG Jian-hua,TANG Xiang-long,LIU Jia-feng,et al.A new method for text detection based on Homogeneity[J].CAAI Transactions on Intelligent Systems,2007,2(1):69-73.
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HUANG Jian-hua,TANG Xiang-long,LIU Jia-feng,et al.A new method for text detection based on Homogeneity[J].CAAI Transactions on Intelligent Systems,2007,2(1):69-73.
一种基于Homogeneity的文本检测新方法
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第1期
页码:
69-73
栏目:
学术论文—智能系统
出版日期:
2007-02-25
- Title:
- A new method for text detection based on Homogeneity
- 文章编号:
- 1673-4785(2007)01-0069-05
- 关键词:
- 文本检测; 特征提取; Homogeneity; 支持向量机
- Keywords:
- text detection; feature extraction; Homogeneity; SVM
- 分类号:
- TP391.2
- 文献标志码:
- A
- 摘要:
- 视频图像中的文本包含了丰富的语义层次上的内容描述信息，为基于语义的图像检索提供重要的索引信息资源.提出了一种基于Homogeneity和支持向量机(support vector machine)的视频图像中文本检测方法，首先将图像由空间域映射到Homogeneity域中，然后对映射到Homogeneity空间中的图像进行特征提取，利用SVM判别文本区域.实验表明此文本检测方法优于用基于边缘特征的文本检测方法.
- Abstract:
- Text data presented in images and video contains useful and important semantic information for automatic indexing. In this paper, a method for text d etection based on homogeneity and SVM is proposed. First an original image is m apped from space domain to homogeneity domain, and then text region property is conf irmed by SVM trained to extract property feature in homogeneity domain. Comparis on with the text detection method based on edge features shows that the proposed method has a better accuracy.
- 参考文献/References:
-
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［6］YE Q X, HUANG Q M, GAO W, ZHAO D B. Fast and robust text detection in images and video frames［J］. Image Vision and Computing, 2005(23):565-576.
［7］张 引,潘云鹤.面向彩色图像和视频的文本提取新方法［J］. 计算机辅助设计与图形学报，2002, 14(1):36-40.
ZHANG Yin, PAN Yunhe. A new approach for text extraction from color image and vi deo［J］. Journal of Computeraided Design & Computer Graphics,2002, 14(1): 36- 40.
［8］ZHONG Y, ZHANG Hongjiang, JAIN A K. Automatic caption location in co mpressed video［J］. IEEE Transactions on Pattern Analysis and Machine Intellige nce,2000, 22(4):385-392
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备注/Memo
收稿日期：2006-03-07.
基金项目:国家自然科学基金资助项目（60573071）
作者简介：
黄剑华，男，1967年生，副研究员，中国计算机学会会员.主要研究方向为人工智能、模式识别、图像处理、自然环境下文本认知、人体运动智能分析等. E-mail：jhhuang@hit.edu.cn
唐降龙，男，1960年生，教授，博士生导师，主要研究方向为模式识别、人体运动智能分析、人工智能、图象处理医学图象处理、人体生物特征身份鉴别等. 哈尔滨工业大学计算机学院模式识别研究中心主任，中国计算机学会会员，黑龙江省人工智能学会副理事长.
刘家锋，男，1968年生，副教授，主要研究方向为人工智能、模式识别、中文信息处理等.
更新日期/Last Update:
2009-05-05