In project experiment, a cluster algorithm based on simple prior knowledge and connective region method is designed to decrease computing burden compared to cluster algorithms discussed in this article.
提出的基于简单先验知识和连通域的聚类算法减少了运算量。
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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.
该文提出了一种新的基于视觉侧抑制模型和连通域统计的阈值图像分割算法。
This paper proposes a novel algorithm about image segmentation based on the vision lateral inhibition model and statistics of consecutive fields.
利用最优化阈值分割算法进行图像分割，同时采用序贯算法对连通域进行标记。
Also, it USES optimal thresholding arithmetic to segment image and use sequential arithmetic to mark connected component.
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