Indonesian Journal of Artificial Intelligence and Data Mining
Vol 1, No 2 (2018): September 2018

Learning Vector Quantization 3 (LVQ3) and Spatial Fuzzy C-Means (SFCM) for Beef and Pork Image Classification

Jasril Jasril (UIN Sultan Syarif Kasim Riau)
Suwanto Sanjaya (UIN Sultan Syarif Kasim Riau)

Article Info

Publish Date
10 Oct 2018

Abstract

Base on some cases in Indonesia, meat sellers often mix beef and pork. Indonesia is a predominantly Muslim country. Pork is forbidden in Islam. In this research, the classification of beef and pork image was performed. Spatial Fuzzy C-Means is used for image segmentation. GLCM and HSV are used as a feature of segmentation results. LVQ3 is used as a method of classification. LVQ3 parameters tested were the variety of learning rate values and window values. The learning rate values used is 0.0001; 0.01; 0.1; 0.4; 0.7; 0.9 and the window values used is 0.0001; 0.4; 0.7. The training data used is 90% of the total data, and the testing data used is 10%. Maximum epoch used is 1000 iterations. Based on the test results, the highest accuracy was 91.67%.

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Journal Info
Indonesian Journal of Artificial Intelligence and Data Mining
Website

Abbrev

IJAIDM

Publisher

Universitas Islam Negeri Sultan Syarif Kasim Riau

Subject

Computer Science & IT

Description

Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) is an electronic periodical publication published by Puzzle Research Data Technology (Predatech) Faculty of Science and Technology UIN Sultan Syarif Kasim Riau, Indonesia. IJAIDM provides online media to publish scientific ...