Supriyanto, Catur and Shidik, Guruh Fajar and Pramunendar, Ricardus Anggi and Andono, Pulung Nurtantio (2014) Performance Enhancement of Image Clustering Using Singular Value Decomposition in Color Histogram Content-Based Image Retrieval. Document Repository.
Full text not available from this repository.Abstract
Abstract—This paper presents an enhancement of the performance of image clustering. K-Means has been chosen as our clustering technique. We applied Hue Saturation Value (HSV) color histogram as features to retrieve image information. Singular Value Decomposition (SVD) technique is employed to enhance the performance of image clustering by reducing features that not useful to be proceed in clustering process. We evaluated the image clustering using Recall, Precision, F-Measure and computational time. The obtained result indicates that SVD in HSV color histogram Content-Based Image Retrieval (CBIR) is promising. Index Terms—Content based image retrieval, HSV color histogram, k-means algorithm, singular value decomposition
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > Teknik Informatika > INF Informatika Universitas Dian Nuswantoro > Fakultas Ilmu Komputer > Teknik Informatika > INF Informatika Semantik 2013 > INF Informatika |
| Divisions: | Library of Congress Subject Areas > T Technology > Teknik Informatika > INF Informatika Fakultas Ilmu Komputer > Teknik Informatika > INF Informatika Semantik 2013 > INF Informatika |
| Depositing User: | Psi Udinus |
| Date Deposited: | 17 Dec 2014 12:03 |
| Last Modified: | 09 Oct 2015 16:32 |
| URI: | http://eprints.dinus.ac.id/id/eprint/14138 |
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