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International Journal of Advanced Engineering, Management and Science


Evaluation of Gastric Diseases Using Segmentation RGB Interface in Video Endoscopy Images

( Vol-4,Issue-6,June 2018 )

Author(s): Sandra Luz Mendoza-Trejo, Víctor Manuel Ruiz-Martinez, José Ernesto Domínguez-Herrera



Total View : 1272
Downloads : 165
Page No: 474-478
ijaems crossref doiDOI: 10.22161/ijaems.4.6.8

Keywords:

RGB Segmentation, Video Endoscopy, Injury Identification.

Abstract:

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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