Tongue Color Analysis and Disease Diagnosis Based on a Computer Vision System

Abdulghafor Khudhaer Abdullah, S. Mohammed, Ali Al-Naji
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Abstract

The tongue reflects the state of the internal organs of the body and their abnormal behavior, such as problems of the heart, liver, pancreas, stomach, intestines, blood diseases, etc., which leads to changes in some of the features and characteristics of the tongue. The most important of which is the color of the tongue, which can be adopted as a vital criterion that can be used in computerized diagnostic systems. Quantitative diagnosis of the tongue requires some devices, including image acquisition devices such as cameras, light sources, filters, color checkers, and image analysis and processing devices by applying some algorithms or image processing and color correction programs in addition to the computer. These devices are called Tongue Diagnostic Systems. This study proposes a real-time imaging system to diagnose some diseases related to tongue color using a Webcam under specific conditions. The proposed system was designed by MATLAB environment Graphical User Interfaces, with an audio message specifying the tongue color and type of disease and sending an SMS with the result of the examination to the mobile phone of the patient or to the person providing the care for the patient. After testing the system on a data set of 50 images, the preliminary results showed that the proposed system gives diagnosis accurate rate of 94% compared to laboratory results. With ease of use and implementation and low cost. This gives impetus to further studies to apply computerized diagnosis in medical applications, to enhance the medical reality, monitor patient health, and make an accurate diagnosis.
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基于计算机视觉系统的舌色分析与疾病诊断
舌头反映了身体内部器官的状态及其异常行为,如心脏、肝脏、胰腺、胃、肠、血液疾病等问题,从而导致舌头的一些特征和特征发生变化。其中最重要的是舌头的颜色,这可以作为一个重要的标准,可以在计算机诊断系统中使用。舌头的定量诊断除了需要计算机外,还需要一些设备,包括相机、光源、滤光片、色彩检测器等图像采集设备,以及应用一些算法或图像处理和色彩校正程序的图像分析和处理设备。这些设备被称为舌头诊断系统。本研究提出一种实时成像系统,在特定条件下使用网络摄像头诊断与舌色有关的疾病。本系统采用MATLAB环境下的图形用户界面设计,通过语音留言说明舌头颜色和疾病类型,并将检查结果发送短信到患者或护理人员的手机上。在50张图像的数据集上对该系统进行了测试,初步结果表明,与实验室结果相比,该系统的诊断准确率达到94%。具有易于使用和实现以及低成本的特点。这推动了计算机诊断在医疗应用中的进一步研究,以提高医疗真实性,监测患者健康状况,做出准确的诊断。
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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