利用支持向量机进行局部二元模式特征提取,对胸部 X 光片上的肺部肺炎进行分类

H. Irsyad, Dina Mariana
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引用次数: 0

摘要

肺炎是由细菌、病毒、真菌或寄生虫引起的一种肺部疾病。通过 X 光或 X 射线检查是发现肺炎的方法之一。该领域的专家将对 X 光结果进行分析,以确定是否存在肺炎。本研究旨在对 X 光结果进行分类,以确定是否存在肺炎。分类使用的方法是支持向量机(SVM)和局部二进制模式(LBP)特征提取。分类前对图像进行的阶段包括裁剪和调整大小,然后使用局部二进制模式进行特征提取,最后使用支持向量机进行分类,其准确率高达 65.63%。 关键词 :肺炎、胸部 X 光片、LBP、SVM
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Klasifikasi Pneumonia pada Chest X-Ray Paru-paru dengan Ekstraksi Fitur Local Binary Pattern Menggunakan Support Vector Machine
Pneumonia is a type of lung disease caused by bacteria, viruses, fungi, or parasites. One way to find out pneumonia is by X-ray or x-ray. X-ray results will be analyzed by experts in the field to find out whether there is pneumonia or not. This study aims to classify the x-ray results whether there is pneumonia or normal. The method used for the classification of Support Vector Machine (SVM) and Local Binary Pattern (LBP) feature extraction. Stages carried out in the image before the classification are Cropping and Resize, then feature extraction using Local Binary Pattern and in classification using Support Vector Machine produces the best accuracy of 65.63%. Keywords : Pneumonia, Chest X-Ray, LBP, SVM
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