Identifikasi Tingkat Kematangan Buah Pinang Menggunakan K-Nearest Neighbor Berdasarkan Fitur Tekstur dan Warna

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Information and Learning Technology Pub Date : 2023-04-04 DOI:10.32938/jitu.v2i2.4205
P. G. Manek, Budiman Baso, Biandina Meidyani
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Abstract

This research builds a system for identifying the maturity level of areca fruit based on digital image processing using texture and color features through the Gray Level Co-Occurrence Matrix (GLCM) and Color moments. The initial stage of the research is image pre-processing so that it can be processed to the next stage, namely feature extraction. Texture feature extraction was performed using the Gray Level Co-Occurrence Matrix (GLCM), namely the correlation value and color feature extraction using Color moments, the mean value used in this study. Classification is done based on the features that have been extracted before. This study uses the K-Nearest Neighbor (KNN) classification method. Tests were carried out to determine the parameters that cause changes in the classification results with scenarios including determining the number of Neighbors in KNN. By using 1 Neighbors in the KNN classifier, the best accuracy is 86.36% in the process of identifying the maturity level of areca fruit.
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本研究通过灰度共生矩阵(GLCM)和颜色矩,构建了一种基于纹理和颜色特征的数字图像处理槟榔果实成熟度识别系统。研究的初始阶段是图像预处理,然后再进行下一阶段的处理,即特征提取。纹理特征提取使用灰度共生矩阵(GLCM),即相关值和颜色特征提取使用颜色矩,在本研究中使用的平均值。分类是基于之前提取的特征进行的。本研究采用k -最近邻(KNN)分类方法。在确定KNN中的邻居数量等场景下,进行了测试,以确定导致分类结果变化的参数。在KNN分类器中使用1个邻域,在鉴别槟榔果实成熟度的过程中,准确率最高为86.36%。
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来源期刊
International Journal of Information and Learning Technology
International Journal of Information and Learning Technology COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.10
自引率
3.30%
发文量
33
期刊介绍: International Journal of Information and Learning Technology (IJILT) provides a forum for the sharing of the latest theories, applications, and services related to planning, developing, managing, using, and evaluating information technologies in administrative, academic, and library computing, as well as other educational technologies. Submissions can include research: -Illustrating and critiquing educational technologies -New uses of technology in education -Issue-or results-focused case studies detailing examples of technology applications in higher education -In-depth analyses of the latest theories, applications and services in the field The journal provides wide-ranging and independent coverage of the management, use and integration of information resources and learning technologies.
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