纤毛上皮的纹理特征分类

2020 ELEKTRO Pub Date : 2020-05-01 DOI:10.1109/ELEKTRO49696.2020.9130649

Frantisek Jabloncík, L. Hargaš, D. Koniar, Jaroslav Bulava, Boucif Beddad

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引用次数: 0

摘要

本文讨论了显微镜图像中纤毛上皮分割的自动方法设计。该方法基于图像的纹理分析，然后将这些参数分为3类:上皮细胞、纤毛和背景。该工作的目的是找到分割初始条件的最佳组合。该算法的输出是原始显微图像，其中高亮显示的区域被认为是纤毛。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Ciliated epithelium segmentation using texture features classification

This article deals with the design of automated methods for the segmentation of ciliated epithelium in microscopic images. The proposed method is based on texture analysis of image and subsequent classification of these parameters into 3 classes: epithelial cells, cilia and background. The aim of the work is to find the best combination of initial conditions of segmentation. An output of the algorithm is an original microscopic image with highlighted regions assumed to be cilia.

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2020 ELEKTRO

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