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机构地区:[1]南方医科大学病理学教研室,广州510515 [2]南方医科大学信息技术系,广州510515
出 处:《计算机工程与应用》2007年第17期21-23,28,共4页Computer Engineering and Applications
基 金:国家自然科学基金(the National Natural Science Foundation of China under Grant No.30271462)
摘 要:提出了一种重叠细胞图像自动分离的新算法。根据重叠细胞的凹凸性,从细胞重叠区域的凹区域中寻找到凹点,根据凹点数与细胞个数的关系,判断是细胞串联还是细胞并联:如果是串联的情况,则直接将成对的凹点连成直线分离重叠区域;如果是并联的情况,则将凹点与重叠区域的中心连接成直线分离重叠区域。该算法在Matlab环境下对重叠细胞图像进行了自动分离,实验结果表明该算法实现简单,效果理想,且能基本保持原细胞的大小和形状。This article proposes a new algorithm for automatically separating overlap cell image.According to the ragged topography of overlap cell,we seek concave spots from the concave regions in the overlap cell image,and judge whether image is cell series or cell parallel by comparing the numbers of concave spots with cores.ln the series situation,drawing line by connecting couple of concave spots to separate overlap region; In the parallel situation,drawing line by connecting concave spot with core to separate the overlap region.This algorithm is carried to separate the overlap cell image under the Matlab environment.The experimental results indicate this algorithm is simple and effective.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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