[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(01):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(01):69-73.
点击复制

一种基于Homogeneity的文本检测新方法(/HTML)
分享到：

《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第2卷
期数:
2007年01期
页码:
69-73
栏目:
学术论文—智能系统
出版日期:
2007-02-25

文章信息/Info

Title:
A new method for text detection based on Homogeneity
文章编号:
1673-4785(2007)01-0069-05
作者:
黄剑华; 唐降龙; 刘家锋; 徐莉莉
哈尔滨工业大学计算机科学与技术学院，黑龙江哈尔滨150001
Author(s):
HUANG Jian-hua; TANG Xiang-long; LIU Jia-feng; XU Li-li
School of Computer Science and Technology, Harbin Institute of Technology, Harbi n 150001, China
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:

［1］ JEONG K Y, JUNG K, KIM E Y, et al： Neural networkbased text location f or news video indexing［J］. IEEE Transactions on Information Theory, 1998, 44(5): 319-323.
［2］KIM K I, JUNG K, KIM J H. Texturebased approach for text detection in i ma ges using support vector machines and continuously adaptive mean shift algorithm ［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence,2003, 25(1 2):1631-1639.
［3］LI H P, DOERMANN D, KIA O. Automatic text detection and tracking in digi tal video［J］. IEEE Transaction on Image Processing, 2000, 9(1):147-156.
［4］CHEN X R, ZHANG H J. Text area detection from video frames［A］. IEEE Pa cifi c Rim Conference on Multimedia: Advances in Multimedia Information Processing［C ］.［s.l.］,2001.
［5］LIENHART R, WERNICKE A. Localizing and segmentation text in images a nd videos［J］. IEEE Transactions On Circuits and Systems For Video Technology, 2000, 12(4):256-268.
［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 Computeraided 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
［9］LUCAS S M, PANARETOS A, SOSA L. ICDAR 2003 robust reading competitio n［A］. In: IEEE Proceeding of The 7th International Conference on Document Anal ysis and Recognition［C］.［s.l.］,2003.

相似文献/References:

[1]谭 营,朱元春.反垃圾电子邮件方法研究进展[J].智能系统学报,2010,5(03):189.
　TAN Ying,ZHU Yuan-chun.Advances in antispam techniques[J].CAAI Transactions on Intelligent Systems,2010,5(01):189.
[2]王斐,张育中,宁廷会,等.脑-机接口研究进展[J].智能系统学报,2011,6(03):189.
　WANG Fei,ZHANG Yuzhong,NING Tinghui,et al.Research progress in a braincomputer interface[J].CAAI Transactions on Intelligent Systems,2011,6(01):189.
[3]刘琚,孙建德.独立分量分析的图像/视频分析与应用[J].智能系统学报,2011,6(06):495.
　LIU Ju,SUN Jiande.Independent component analysisbased image/video analysis and applications[J].CAAI Transactions on Intelligent Systems,2011,6(01):495.
[4]谭营,王军.手指静脉身份识别技术最新进展[J].智能系统学报,2011,6(06):471.
　TAN Ying,WANG Jun.Recent advances in finger vein based biometric techniques[J].CAAI Transactions on Intelligent Systems,2011,6(01):471.
[5]吴家伟,严京旗,方志宏,等.基于图像显著性特征的铸坯表面缺陷检测[J].智能系统学报,2012,7(01):75.
　WU Jiawei,YAN Jingqi,FANG Zhihong,et al.Defect detection on a steel slab surface based on the characteristics of an image’s saliency region[J].CAAI Transactions on Intelligent Systems,2012,7(01):75.
[6]张毅,罗明伟,罗元.脑电信号的小波变换和样本熵特征提取方法[J].智能系统学报,2012,7(04):339.
　ZHANG Yi,LUO Mingwei,LUO Yuan.EEG feature extraction method based on wavelet transform and sample entropy[J].CAAI Transactions on Intelligent Systems,2012,7(01):339.
[7]刘忠宝,王士同.从Parzen窗核密度估计到特征提取方法：新的研究视角[J].智能系统学报,2012,7(06):471.
　LIU Zhongbao,WANG Shitong.From Parzen window estimation to feature extraction: a new perspective[J].CAAI Transactions on Intelligent Systems,2012,7(01):471.
[8]孙倩茹,王文敏,刘宏.视频序列的人体运动描述方法综述[J].智能系统学报,2013,8(03):189.
　SUN Qianru,WANG Wenmin,LIU Hong.Study of human action representation in video sequences[J].CAAI Transactions on Intelligent Systems,2013,8(01):189.
[9]许可乐,唐涛,蒋咏梅.一种SAR图像稳健特征点提取方法[J].智能系统学报,2013,8(04):287.[doi:10.3969/j.issn.1673-4785.201304038]
　XU Kele,TANG Tao,JIANG Yongmei.A stable feature point extraction approach for SAR image registration[J].CAAI Transactions on Intelligent Systems,2013,8(01):287.[doi:10.3969/j.issn.1673-4785.201304038]
[10]陈阳,董肖莉,李卫军,等.基于仿生形象思维方法的图像检索算法的改进[J].智能系统学报,2015,10(02):209.[doi:10.3969/j.issn.1673-4785.201411022]
　CHEN Yang,DONG Xiaoli,LI Weijun,et al.Improvement of an image retrieval algorithm based on biomimetic imaginal thinking[J].CAAI Transactions on Intelligent Systems,2015,10(01):209.[doi:10.3969/j.issn.1673-4785.201411022]

备注/Memo

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