| 基于高频小波系数分类器的图像文本信息的非监督检测 |
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| 引用本文： | 黄同城,丁友东.基于高频小波系数分类器的图像文本信息的非监督检测[J].湖南农业大学学报(自然科学版),2006,32(2):219-222. |
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| 作者姓名： | 黄同城 丁友东 |
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| 作者单位： | 1. 上海大学,计算机工程与科学学院,上海,200072;邵阳学院,信息与电气工程系,湖南,邵阳,422000
2. 上海大学,计算机工程与科学学院,上海,200072 |
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| 基金项目： | 湖南省教育厅项目(02C429)，邵阳学院自然科学基金项目(2004B10) |
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| 摘 要： | 图像文本信息的定位与识别在数字图像信息、视频数据库和Web地址的检索应用中十分重要.但文本信息通常镶印在图像的复杂场景中,其检测相当困难.提出了一种能够自动水平校准检测不同大小、字体、颜色和语种的图像文本信息的鲁棒方法.它首先对待测图像进行小波变换,将高频小波系数的分布状况作为文本区与非文本区的统计特征,然后应用K-均值算法分类出图像中的文本区,再经过投影分析以更精确地定位.最后,生成作为OCR引擎输入值的二值文本图像.所提出的检测方法的性能通过试验得到了验证.
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| 关 键 词： | 离散小波变换 文本检测 非监督分类器 |
| 文章编号： | 1007-1032(2006)02-0219-04 |
| 修稿时间： | 2006年1月16日 |
Text's Unsupervised Detection in Image Based on High-Frequency Wavelet Coefficients Classification |
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| HUANG Tong-cheng,DING You-dong.Text''''s Unsupervised Detection in Image Based on High-Frequency Wavelet Coefficients Classification[J].Journal of Hunan Agricultural University,2006,32(2):219-222. |
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| Authors: | HUANG Tong-cheng DING You-dong |
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| Abstract: | Text localization and its recognition in images was important for searching information in digital photo archives,video databases and web sites.However,since it was often printed against a complex background,text was often difficult to be detected.A robust text localization approach was proposed,which could automatically detect horizontally aligned text with different sizes,fonts,colors and languages.First,a wavelet transform was applied to the image and the distribution of high-frequency wavelet coefficients would discrete characterize text and non-text areas.Then,the K-means algorithm was used to classify text areas in the image.The detected text areas under went a projection analysis before refinement their localization.Finally,a binary segmented text image was generated,to be used as input to an OCR engine.The detection performance of the approach was proved experimental demonstration. |
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| Keywords: | discrete wavelet transform text detection unsupervised classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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