Segmentasi Citra Berbasis Clustering Menggunakan Algoritma Fuzzy C-Means

  • I Made Budi Adnyana Universitas Udayana
  • IKetut Gede Darmaputra Universitas Udayana
  • I Putu Agung Bayupati Universitas Udayana

Abstract

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.

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Author Biographies

I Made Budi Adnyana, Universitas Udayana
Magister Teknik Elektro, Program Pasca Universitas Udayana
IKetut Gede Darmaputra, Universitas Udayana
Teknologi Informasi Universitas Udayana
I Putu Agung Bayupati, Universitas Udayana
Teknologi Informasi Universitas Udayana
How to Cite
BUDI ADNYANA, I Made; DARMAPUTRA, IKetut Gede; BAYUPATI, I Putu Agung. Segmentasi Citra Berbasis Clustering Menggunakan Algoritma Fuzzy C-Means. Majalah Ilmiah Teknologi Elektro, [S.l.], v. 14, n. 1, june 2015. ISSN 2503-2372. Available at: <https://ojs.unud.ac.id/index.php/mite/article/view/15543>. Date accessed: 19 nov. 2024. doi: https://doi.org/10.24843/MITE.2015.v14i01p04.

Keywords

image segmentation, fuzzy c-means, clustering