White Bread Mold Detection using K-Means Clustering Based on Grey Level Co-Occurrence Matrix and Region of Interest-Reference-Cited by-同舟云学术

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White Bread Mold Detection using K-Means Clustering Based on Grey Level Co-Occurrence Matrix and Region of Interest

Published:2023-09-16 Issue: Volume: Page:
ISSN:
Container-title:2023 International Seminar on Application for Technology of Information and Communication (iSemantic)
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Author:

Putra Qori Alfatah¹,Sari Christy Atika¹,Rachmawanto Eko Hari¹,Cahyo Nur Ryan Dwi²,Mulyanto Edy¹,Alkhafaji Mohamed Ayad³

Affiliation:

1. University of Dian Nuswantoro,Study Program in Informatics Engineering,Semarang,Indonesia

2. University of Dian Nuswantoro,Department of Informatics Engineering,Semarang,Indonesia

3. National University of Science and Technology,Department of Computer Science,DhiQar,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10294330/10295274/10295369.pdf?arnumber=10295369

Reference18 articles.

1. Color Measurement of Segmented Printed Fabric Patterns in Lab Color Space from RGB Digital Images

2. Medical Images Segmentation Based on Unsupervised Algorithms: A Review

3. K-Means and K-Medoids: Cluster Analysis on Birth Data Collected in City Muzaffarabad, Kashmir

4. Morphological Convolutional Neural Network Architecture for Digit Recognition

5. Computer-aided diagnosis in the era of deep learning;chan;Medical Physics,2020

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