Abstract

In recent years, digital endoscopy has established as key technology for medical screenings and minimally invasive surgery. Endoscopy image processing techniques have been applied to the diagnosis of diseases. In this paper, an effective approach is proposed to process endoscopic images to detect acute appendicitis. For this purpose, we first introduced image enhancement techniques that allow us to improve quality of endoscopic image for further processing. A simple and effective image segmentation technique was developed to detect vessels and vermiform appendix. The hierarchical set of features have been extracted for detecting acute appendicitis. It includes geometrical, colorimetric, densitometric, and topological features. For each appendicitis feature discriminant indexes have been introduced for diagnosis. This method has achieved good results in clinical application.

中文翻译：

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内窥镜图像的分割和特征提取用于急性阑尾炎的诊断

摘要

近年来，数字内窥镜已确立为医学检查和微创手术的关键技术。内窥镜图像处理技术已应用于疾病的诊断。本文提出了一种有效的方法来处理内窥镜图像以检测急性阑尾炎。为此，我们首先介绍了图像增强技术，该技术可使我们改善内窥镜图像的质量以进行进一步处理。开发了一种简单有效的图像分割技术来检测血管和ver状阑尾。提取了层次结构特征以检测急性阑尾炎。它包括几何，比色，光密度和拓扑特征。对于每种阑尾炎，已引入判别指标进行诊断。