"Improved Image Search and Retrieval based on Dominant Colors" by 1Karthik S., Srikanta Murthy et al.

Home > JOURNALS > IJCSI > Vol. 1 > Iss. 2 (2011)

International Journal of Computer Science and Informatics

Article Title

Improved Image Search and Retrieval based on Dominant Colors

Authors

1Karthik S., Deptt. of Information Sciences, PES Institute of TechnologyFollow
Srikanta Murthy, Professor & Head, Department of Computer Sciences, PES School of EngineeringFollow
Uma Kameswari Chembrolu, PES School of EngineeringFollow
Vidya Sridhar, PES School of EngineeringFollow

Abstract

Growth and development of multimedia technology has led to an exponential increase in visual information. Where traditional keyword based information retrieval techniques just do not meet the users demand, CBIR hopes to prevail. CBIR refers to the retrieval of images from a database using information derived from the images themselves rather than solely from accompanying text indices. In this paper we describe an approach of content based retrieval of images from a database, based on dominant colors in the foreground and background of the image. These dominant colors along with histogram and some statistical features form a substantial set to determine the overall similarity between the images. This technique is tested on Simplicity test database and promising results are observed.

Recommended Citation

S., 1Karthik; Murthy, Srikanta; Chembrolu, Uma Kameswari; and Sridhar, Vidya (2011) "Improved Image Search and Retrieval based on Dominant Colors," International Journal of Computer Science and Informatics: Vol. 1 : Iss. 2 , Article 10.
Available at: https://www.interscience.in/ijcsi/vol1/iss2/10

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