胃肠内窥镜出血、病变及反流的彩色图像处理技术

T. K. Kho, K. Sim, F. F. Ting
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引用次数: 1

摘要

本文提出了一种基于颜色和轮廓的分割方法,以帮助医生在胃肠道内窥镜检查过程中。这些方法的提出是为了增强现有胃肠道内镜图像处理的应用。这些算法是在现有胃肠道图像处理应用的基础上开发的,用于辅助医生在诊断过程中识别肠道疾病的类型。对于图像处理部分,与之前的现有方法相比,基于颜色的检测被证明是检测反流、病变和出血的最简单和准确的方法,因为它们的颜色不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gastrointestinal endoscopy colour-based image processing technique for bleeding, lesion and reflux
This paper presents a colour-based and contour based segmentation methods to aid doctors in Gastrointestinal (GI) Endoscopy examination process. These methods are proposed to enhance existing GI Endoscopy image processing applications. Based on the previous existing GI image processing applications, these algorithms are developed to assist doctor in diagnosis process while identifying the type of disease in the intestine. For the image processing part, as compared to previous existing methods, colour-based detection is justified to be the easiest and accurate way for detecting the reflux, lesion and bleeding as they differ in colour.
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