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基于Harris角点的彩色图像文字检测 被引量：2

Text Detection in Color Images Based on Harris Corner
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摘要 提出了一种基于Harris角点的文字检测算法.首先,根据彩色图像和视频中文字区域和背景之间的颜色分量大小的对比,利用Harris角点检测算法,得到图像的角点分布图;然后对图像进行滤波,去除相对孤立的角点;将角点图像进行二值化,利用形态学运算将角点聚合形成区域;对区域进行轮廓跟踪算法,得到文字区域的初定位图像;最后对文字区域进行验证,得到最终结果.实验证明该算法具有较高的准确性. A text detection algorithm based on Harris corner detection is proposed.Firstly,it is very different between the color components＇ sizes of the text regions and the backgrounds in color images,so make use of the Harris corner detection algorithm to get corners iamge.After that image filtering is necessary for removing isolated corners.Thirdly,convert corners iamge to bianry image,use mathematical morphology to connect remaining corners to be regions.Fourthly,find approximate location of text regions for tracing regions＇ contours.Finally,inspect and verify text regions to get the final result.Experiments show that this algorithm has a more precision compared with other algorithms.
作者 刘亚洲 刘国荣 王田甲
机构地区 西安交通大学电子与信息工程学院
出处 《微电子学与计算机》 CSCD 北大核心 2010年第10期136-139,共4页 Microelectronics & Computer
关键词 颜色分量 HARRIS角点 文字检测 数学形态学 轮廓跟踪 color components Harris corner text detection mathematical morphology contour tracing
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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共引文献14

同被引文献12

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微电子学与计算机
2010年 第10期

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