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基于离散点曲率的细胞图像形状特征表述

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针对细胞图像形状特征的描述,提出了基于离散点曲率描述细胞图像形状特征,并提出了一种基于k-邻域内密切圆半径的离散点曲率计算方法。首先,通过Canny边缘检测算子提取细胞图像初始轮廓,再利用直线插补的方法将存在较大间断的初始轮廓填充完整;其次,依据密切圆半径与曲率的计算关系,通过对每一个轮廓点进行k-邻域内的密切圆圆心的定位和密切圆半径的计算求得各轮廓点处的离散点曲率;最后,将求得的离散点曲率作为形状特征描述因子描述细胞图像形状;同时,在不同k-邻域范围的情况下分别对同一细胞图像进行离散点曲率的计算和形状特征的描述,通过分析与比较,最终确定一个能以最少特征点反映更多细胞图像信息的k-邻域范围。经实例验证,基于k-邻域内密切圆半径的离散点曲率能够准确、可靠、高效地描述细胞图像形状特征。
Description of shape feature for cell image based curvature of discrete points
Focusing on description of shape feature for cell image, an approach describing shape feature of cell image based on curvature of discrete points and a computing method of curvature of discrete points based osculating circle radius under k-neighborhood were proposed. Firstly, initial contour of cell image was obtained by Canny edge detection algorithm, and clearances in the initial contour were mended using linear interpolation to gain a continuous, closed contour with unit width. Secondly, coordinate of osculating circle centre and radius of osculating circle were used to calculate curvature on every contour point, according to the calculable relation between curvature and radius of osculating circle. Finally, shape feature of cell image was described by the curvature of discrete points obtained above. Simultaneously, different curvatures of discrete points of a same cell image to describe its shape feature were computed under different k-neighborhood, to get an appropriate k-neighborhood where the description method could reflect more information of shape feature using least feature points after analysis and comparison. The proposed method can describe shape feature of cell image accurately, reliably and efficiently indicated by experiment.

microscopic cellshape featurek-neighborhoodosculating circlediscrete pointcurvature

朱延娟、倪周松

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同济大学 航空航天与力学学院,上海200092

显微细胞 形状特征 k-邻域 密切圆 离散点 曲率

同济大学光华基金资助项目

0200165031

2015

计算机应用
中国科学院成都计算机应用研究所

计算机应用

CSTPCDCSCD北大核心
影响因子:0.892
ISSN:1001-9081
年,卷(期):2015.(z2)
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