失真(校正)对乳糜泻自动分类影响的统计分析

2011 17th International Conference on Digital Signal Processing (DSP) Pub Date : 2011-07-06 DOI:10.1109/ICDSP.2011.6004900

M. Liedlgruber, A. Uhl, A. Vécsei

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引用次数: 22

摘要

在这项工作中，我们研究了桶型失真和失真校正对内窥镜图像自动分类的影响。为此，我们使用了一组来自早期工作的方法以及最近邻分类器，用于以桶型方式扭曲的内窥镜图像。此外，我们对图像进行畸变校正后进行分类。

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Statistical analysis of the impact of distortion (correction) on an automated classification of celiac disease

In this work we investigate the impact of barrel-type distortions and distortion correction on an automated classification of endoscopic imagery. For this purpose we use a set of methods from earlier work along with the nearest neighbor classifier on endoscopic images which are distorted in a barrel-type fashion. In addition we classify images after applying distortion correction to them.

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2011 17th International Conference on Digital Signal Processing (DSP)

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