Open AccessSegmentasi Citra Berbasis Clustering Menggunakan Algoritma Fuzzy C-Means
Author(s) -
I Made Budi Adnyana,
IKetut Gede Darmaputra,
I Putu Agung Bayupati
Publication year - 2015
Publication title -
majalah ilmiah teknologi elektro/majalah ilmiah teknologi elektro
Language(s) - English
Resource type - Journals
eISSN - 2503-2372
pISSN - 1693-2951
DOI - 10.24843/mite.2015.v14i01p04
Subject(s) - cluster analysis , preprocessor , artificial intelligence , pattern recognition (psychology) , computer science , fuzzy logic , fuzzy clustering , image segmentation , segmentation , image (mathematics) , data mining , noise (video) , mathematics
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.