Image Clustering using Color Moments, Histogram, Edge and K-means Clustering
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Computer Science & Engineering | India | Volume 2 Issue 1, January 2013

Image Clustering using Color Moments, Histogram, Edge and K-means Clustering

Annesha Malakar, Joydeep Mukherjee

Clustering a large volume of image database is a challenging research work. Image clustering is needed many practical area like Medical Diagnosis, Military. There exist many traditional way to cluster similar data. But the accuracy level is not so high. So in this paper we propose a new multi feature image clustering technique which will help us to classify the large volume data with high accuracy level. Firstly we extract color moments feature from an image, and then we consider histogram analysis and make a summation of each color bin. Finally we used canny edge detection technique. Lastly we combine all features in a matrix and perform clustering algorithm to cluster data.

Keywords: Color moments, Color Histogram, Edge Detection, Clustering

Edition: Volume 2 Issue 1, January 2013

Pages: 532 - 537

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How to Cite this Article?

Annesha Malakar, Joydeep Mukherjee, "Image Clustering using Color Moments, Histogram, Edge and K-means Clustering", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=IJSRON2013308, Volume 2 Issue 1, January 2013, 532 - 537

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