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IMAGE PARTITIONING METHOD USING HIGH-ORDER CORRELATION CLUSTERING, SYSTEM PROCESSING THE METHOD AND RECORDING MEDIUM

机译:使用高阶相关聚类的图像分割方法,系统处理方法和记录介质

摘要

PURPOSE: a kind of to utilize high-order relevant cluster dividing method, the identical recording medium of system processing, which provides, realizes that image division quickly move through the broader region of processing. ;CONSTITUTION: input picture is divided into super-pixel (S210) by system. System building hypergraph considers (S220) of specified conditions from two or more adjacent super pixels in the super-pixel obtained by connection. The system extracts each edge of feature vector, and super graph forms connector characteristic pattern, and the super graph of subregion building passes through high-order related clusters (S230). ;The 2013 of copyright KIPO submissions;[Reference numerals] (AA) starts; (BB) terminate; (S210) input picture is divided into super-pixel by system; (S220) system constructs hypergraph and considers specified conditions by connection in the super-pixel obtained from two or more adjacent super pixels; (S230) each edge super graph that system extracts feature vector forms connector characteristic pattern, and the super graph of subregion building passes through high-order relevant cluster
机译:目的:一种利用高阶相关聚类划分方法,提供的与系统处理相同的记录介质,实现图像划分快速地在较宽的处理范围内移动。 ;构成:输入图片被系统划分为超像素(S210)。系统构建超图考虑(S220)来自通过连接获得的超像素中的两个或更多个相邻超像素的指定条件。该系统提取特征向量的每个边缘,并且超级图形成连接器特征图案,并且子区域建筑物的超级图穿过高阶相关簇(S230)。 ; 2013年版权KIPO提交文件; [参考数字](AA)开始; (BB)终止; (S210)输入图片被系统划分为超像素; (S220)系统构造超图并通过连接从两个或多个相邻超像素获得的超像素来考虑指定条件; (S230)系统提取特征向量的每个边缘超级图形成连接器特征图案,并且子区域建筑物的超级图经过高阶相关簇

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