Efficient Modeling of Visual Art Color Image Clustering

Although there has been massive research work being conducted in the area of content-based image retrieval (CBIR) system using various sophisticated techniques, very little work has been witnessed for visual art images. From the literatures, it has also been witnessed that clustering algorithm has played a big role in justifying the outcome of various CBIR system. The objective of the proposed system is to introduce a new clustering technique which is implemented over a large set of visual art images. The proposed algorithm is implemented and its performance is measured with respect to two performance parameter namely,. recall and precision. The accomplished outcome of the study is also compared with two conventional clustering techniques that are frequently seen on literatures to understand where the proposed system stands. The accomplished results were seen to outperform conventional clustering technique.