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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Komtika (Komputasi dan Informatika) Informatika Djtechno: Jurnal Teknologi Informasi AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Informatika dan Rekayasa Komputer Jurnal Manajemen Sistem Informasi Journal of Social Science Utilizing Technology Journal of Social Science Utilizing Technology Akademika Jurnal Komtika (Komputasi dan Informatika) JITCoS : Journal of Information Technology and Computer System
Niko Akbar
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Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Journal : JITCoS : Journal of Information Technology and Computer System

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Image Classification Based On Color Using Thresholding Method Selian, Teguh Agara; Akbar, Niko; Hidayat, M. Irfan
JITCoS : Journal of Information Technology and Computer System Vol. 1 No. 1 (2025): Volume 1 Number 1, June 2025
Publisher : CV. Multimedia Teknologi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65230/jitcos.v1i1.5

Abstract

This research aims to categorize images based on color using the method of thresholding. Image classification based on color plays a crucial role in various applications such as object detection, traffic monitoring, and medical image processing. The thresholding method is a popular approach used in image segmentation due to its effectiveness and computational efficiency. In this method, grayscale images are converted into binary images by determining a specific threshold value. This research utilizes the thresholding method to separate pixels based on their color intensity. The research methodology consists of several steps, including dataset collection, image pre-processing, color feature extraction, application of the thresholding method, and class labeling. The study's benefits include object recognition, cost and time reduction in image classification, and improved product quality and income for farmers.
Co-Authors Adfa Aditiya Alghifari, Hamzah Ari Prayitno Bayu Putra Sanjaya Edi Saputra Elsi Alfionita Syawal Hidayat, M. Irfan Hilmiyati, Fitri Joni Devitra, Joni M. Ari Prayitno M. Yonggi Puriza Muhammad Adfa Aditiya Muhammad Razi A Nurul Abdillah Oki Dahwanu Putra Sanjaya, Bayu Putri Hazmawati Riyanti Riyanti Selian, Teguh Agara Sutoyo, Mochammad Arief Hermawan Yandi Anzari