Segmentasi Citra Berbasis Clustering Menggunakan Algoritma Fuzzy C-Means

Main Authors: Budi Adnyana, I Made; Universitas Udayana, Darmaputra, IKetut Gede; Universitas Udayana, Bayupati, I Putu Agung; Universitas Udayana
Format: Article application/pdf eJournal
Bahasa: eng
Terbitan: Universitas Udayana , 2015
Subjects:
Online Access: http://ojs.unud.ac.id/index.php/JTE/article/view/15543
Daftar Isi:
  • Clustering based image segmentation in this study using Fuzzy C means algorithm with Xie Beni Index as an objective function. Preprocessing applied in this model using Statistical Region merging. Spatial function applied in Fuzzy C means method to reduce noise in clustering. The system evaluation is done by measuring cluster validity value (Xie Beni Index), execution time, and number of iteration. Experimental results on three test images illustrates the proposed method able to perform image segmentation well.