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中南大学学报(自然科学版)

Journal of Central South University

第46卷    第6期    总第250期    2015年6月

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文章编号:1672-7207(2015)06-2098-06
基于色彩聚类的自然场景文本检测
吴慧1, 2,赵于前1, 2, 3,李香花4,邹北骥2,邹润民2

(1. 中南大学 地球科学与信息物理学院,湖南 长沙,410083;
2. 中南大学 信息科学与工程学院,湖南 长沙,410083;
3. 中南大学 有色金属成矿预测教育部重点实验室,湖南 长沙 410083;
4. 中南大学 土木工程学院,湖南 长沙,410075
)

摘 要: 基于场景图像背景复杂,图像中的文本变化多样,提出一种基于色彩聚类的自然场景文本检测算法。其步骤为:首先,用K-均值聚类算法将彩色图像聚成5种色彩层,分析各色彩层中连通域外接矩形的几何特性,去掉离散的非文本连通域;然后,根据相邻连通域外接矩形的几何性质和空间位置关系,将离散的连通域连接形成候选文本块;最后,通过分析候选文本块的几何特性和边缘密度验证文本,得到最终文本检测结果。实验结果证明了本文算法的有效性和可行性。

 

关键字: 场景文本检测;色彩聚类;文本验证

Text detection from natural scene images based on color clustering
WU Hui1, 2, ZHAO Yuqian1, 2, 3, LI Xianghua4, ZOU Beiji2, ZOU Runmin2

1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
2. School of Information Science and Engineering, Central South University, Changsha 410083, China;
3. Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Ministry of Education,
Central South University, Changsha 410083, China;
4. School of Civil Engineering, Central South University, Changsha 410075, China

Abstract:Considering that the natural scene images have complex background and the text in them is usually various, a text detection method based on color clustering was proposed. The procedures are as follows. Firstly, K-means was utilized to group pixels in color images into five different color layers and the bounding-boxes of connected-components in every color layer were obtained. Some non-text components were removed by analyzing geometrical properties of the bounding-boxes. Subsequently, the scattered components were connected to form candidate text blocks according to their bounding-boxes’ geometrical properties and locations. Finally, text verification was performed by geometrical and edge density identifications. The experimental results show that the proposed method is feasible and effective.

 

Key words: scene text detection; color clustering; text verification

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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