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

The authors are with the Dept. of Computer Science Dian Nuswantoro University, Semarang, Indonesia (e-mail: caturs@research.dinus.ac.id,guruh.fajar@research.dinus.ac.id, ricardus.anggi@research.dinus.ac.id,pulung@research.dinus.ac.id).

Cite: Catur Supriyanto, Guruh Fajar Shidik, Ricardus Anggi Pramunendar, and Pulung Nurtantio Andono, "Performance Enhancement of Image Clustering Using Singular Value Decomposition in Color Histogram Content-Based Image Retrieval," International Journal of Computer and Communication Engineering vol. 1, no. 4, pp. 317-320 , 2012.