An Integrated curvature and Convex Hull based concave point detection in Histopathological images

A. Ulle, T. N. Nagabhushan, N. Manoli, V. Basavaraj
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Abstract

We propose a simple approach to identify concave points in Histopathological Images. Identification of all valid concave points play an important role in separating irregular shaped cells forming clumps in the Histopathological images. There exists several studies for accurate identification of concave points. Our experimental analysis reveal that existing methods fail to identify both deep, and shallow concave points. In this paper we propose an integrated curvature and convex hull based concave points detection in Histopathological images. The proposed method performed well when compared to the existing methods.
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基于集成曲率和凸壳的组织病理学图像凹点检测
我们提出了一种简单的方法来识别组织病理图像中的凹点。所有有效凹点的识别对于分离组织病理图像中不规则形状的细胞团块起着重要的作用。关于凹点的准确识别,目前已有一些研究。我们的实验分析表明,现有的方法无法识别深凹点和浅凹点。本文提出了一种基于曲率和凸包的组织病理图像凹点检测方法。与现有方法相比,该方法具有良好的性能。
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