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.
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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