应用视频内镜图像分割RGB接口评价胃病

Sandra Luz Mendoza-Trejo, Víctor Manuel Ruiz-Martinez, José Ernesto Domínguez-Herrera
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引用次数: 0

摘要

视频内镜因其侵袭性小、风险低,是一种预防、诊断和预后的技术,常用于检测胃病变,但医务人员的批评是做出诊断的主要因素。一种新的图像处理算法,利用MATLAB软件将视频内窥镜分离为6种色调,采用RGB滤波器及其组合,医务人员对其进行了评估,以确定比色法是否有助于检测胃疾病,如息肉、静脉曲张和溃疡,医务人员表示颜色为红色;粉红色(没有绿色)和黄色(没有蓝色)有助于检测静脉曲张,因为增强了自然颜色,减少了腔内液体的干扰,胃溃疡很容易被黄色(没有蓝色)和粉红色检测到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Gastric Diseases Using Segmentation RGB Interface in Video Endoscopy Images
Video endoscopy is a prevention, diagnosis and prognosis technique usually used to detect gastric lesions due to its minimal invasion and low risk, however the critique of the medical personnel is the main actor to give a diagnosis, in this article, a novel algorithm of image processing using MATLAB software to separate video endoscopy in 6 tonalities implementing RGB filters and their combinations has been evaluated by medical personnel to determinate if the colorimetry helps in the detection of gastric diseases such as polyps, varicose veins and ulcers, the medical staff indicates that the color red, pink (Without green) and yellow (without blue) help in the detection of varicose veins due to enhanced of natural color and reduction the interference of fluids in cavity, gastric ulcers are detected easily by yellow (without blue) and pink colors.
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