姜继春,王晓红,许秦蓉.基于 Lab 颜色空间的手写文字提取算法研究[J].包装工程,2014,35(7):139-142.
JIANG Ji-chun,WANG Xiao-hong,XU Qin-rong.Handwritten Text Extraction Algorithm Based on the Lab Color Space[J].Packaging Engineering,2014,35(7):139-142. |
| 基于 Lab 颜色空间的手写文字提取算法研究 |
| Handwritten Text Extraction Algorithm Based on the Lab Color Space |
| 投稿时间：2013-05-09 修订日期：2014-04-01 |
| DOI： |
| 中文关键词: 颜色空间 K 均值聚类 滤波 边缘检测 |
| 英文关键词: color space K-means clustering filtering edge detection |
| 基金项目:上海市研究生创新基金项目( JWCXSL1302) |
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| 中文摘要: |
| 目的 研究颜色空间聚类在彩色手写体文字提取方面的应用。 方法 分别在 Lab,LUV,YCbCr颜色空间以及 YIQ 颜色空间下,进行手写体文字图像聚类效果的分析比较,并结合空间域滤波增强与边缘检测技术提取出所需要的手写体文字信息。 结果 所选择研究对象在 Lab 颜色空间下对手写体文字具有较好的提取效果,有利于后续的文字识别。 结论 颜色空间聚类方法能有效避免灰度转换造成颜色信息丢失而引起的误判,在保证原有阈值分割算法快速、简单的前提下,能够对彩色图像进行更为准确的分割。 |
| 英文摘要: |
| Objective To study the application of color space clustering in handwritten text extraction. Methods The comparative effectiveness analysis of handwritten text clustering was implemented in Lab, LUV, YCbCr and the YIQ color space,respectively. Combining the spatial filtering enhancement and edge detection technique, the handwritten text information needed was extracted. Results In this paper, the selection of research object in Lab color space showed a better result of handwritten text extraction, which was conducive to the subsequent text recognition. Conclusion Dose color space clustering can not only avoid misjudge caused by loss of color information resulted from gray-scale transformation, but also achieve more accurate segmentation of color images while preserving the fast and simple advantages of the original threshold segmentation algorithm. |
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