In this thesis, we study on text region extraction in color images. It includes five parts: multi-scale analysis, color edge extraction, morphologic processing, connected -component analysis and text regions extraction.
本文主要研究彩色图像中的文本区域定位和提取方法,研究的具体内容包括:多分辨分析、边缘提取、形态学处理、连通域分析、文本区域提取等五个方面。
参考来源 - 基于边缘信息的文本区域提取算法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
对整个汉字图像进行连通域分析，得到初选的分割点。
The primary segmentation point is obtained by analysis of whole Chinese word image connection area.
该系统由两个重要步骤组成：1基于灰度方差的车牌定位算法，2结合连通域分析和投影分析的字符切分算法。
The proposed method is divided into two steps: 1 license plate location by the variance of gray image, and 2 license plate segmentation by connected components analysis and projection analysis.
主连通域分析的方法是充分利用梯度二值图中的字符连通域不易出现交叉、间距异常等特征来去除蓝色伪车牌的。
Main connected components analysis is to make full use of gradient binary images of characters, that is not easy of cross and spacing abnormal in the connected domain, to remove blue pseudo-plates.
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