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All Journal International Journal of Evaluation and Research in Education (IJERE) ComEngApp : Computer Engineering and Applications Journal Jurnal Ilmu Komputer dan Informasi Computer Engineering and Applications Journal (ComEngApp) Perfecting a Video Game with Game Metrics JUITA : Jurnal Informatika Proceeding of the Electrical Engineering Computer Science and Informatics Computer Engineering and Applications Journal (ComEngApp) Jurnal Informatika Upgris Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Ilmiah Matrik Indonesian Journal of Information System JMM (Jurnal Masyarakat Mandiri) Martabe : Jurnal Pengabdian Kepada Masyarakat Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Informatika Global Jurnal Ilmiah Binary STMIK Bina Nusantara Jaya Jurnal Abdimas Mandiri Reswara: Jurnal Pengabdian Kepada Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Indonesian Community Journal International Journal of Advanced Science Computing and Engineering AnoaTIK: Jurnal Teknologi Informasi dan Komputer Jurnal INFOTEL
Ahmad Sanmorino
Universitas Indo Global Mandiri
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : ComEngApp : Computer Engineering and Applications Journal

 1 
Clustering Batik Images using Fuzzy C-Means Algorithm Based on Log-Average Luminance Ahmad Sanmorino
Computer Engineering and Applications Journal Vol 1 No 1 (2012)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.414 KB) | DOI: 10.18495/comengapp.v1i1.3

Abstract

Batik is a fabric or clothes that are made with a special staining technique called wax-resist dyeing and is one of the cultural heritage which has high artistic value. In order to improve the efficiency and give better semantic to the image, some researchers apply clustering algorithm for managing images before they can be retrieved. Image clustering is a process of grouping images based on their similarity. In this paper we attempt to provide an alternative method of grouping batik image using fuzzy c-means (FCM) algorithm based on log-average luminance of the batik. FCM clustering algorithm is an algorithm that works using fuzzy models that allow all data from all cluster members are formed with different degrees of membership between 0 and 1. Log-average luminance (LAL) is the average value of the lighting in an image. We can compare different image lighting from one image to another using LAL. From the experiments that have been made, it can be concluded that fuzzy c-means algorithm can be used for batik image clustering based on log-average luminance of each image possessed.
Co-Authors Abdul Kholik Ade Fathurahman Agustina Heryati Amirah Aprianita Kartini Arvia Fildzah Suharmanto Dhamayanti Dhamayanti Dhamayanti Dhamayanti Ditho Hersilava Dwi Asa Verano Faradillah Faradillah Fery Antony Fitrah Karimah Imelda Saluza, Imelda Isabella Isabella Isabella, Isabella Juhaini Alie Marnisah, Luis Masroni Dedi Kiswanto Megat Norulazmi Megat Mohamed Noor Nazori Suhandi Nining Ariati Nining Ariati Rendra Gustriansyah Rudi Heriansyah Sanza Vittria Wulanda Sartika, Dewi Setiadi Yazid, Setiadi Shinta Puspasari Shinta Puspasari Sunardi, Hastha Suryati Suryati Tedy Setiawan Saputra Terttiaavini, Terttiaavini Terttiaavini, Terttiaavini Terttiavini Yulianti, Evi