Improving the performance of content based image retrieval through color layout descriptor

Imran, Muhammad and Hashim, Rathiah and Abdul Khalid, Noor Elaiza (2014) Improving the performance of content based image retrieval through color layout descriptor. In: International Integrated Engineering Summit (IIES 2014), 1-4 December 2014, Universiti Tun Hussein Onn Malaysia, Johor.

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Abstract

Due to increasing the digital contents day by day, many image databases are available in different areas such as education, forensics science, and medical science etc. Although these databases are helpful in related areas but the demand to manage these databases such as storing and to retrieve the images from these databases is the need of the day. To search the similar image from these databases Content Based Image Retrieval (CBIR) is one of the best technique. Even though it is a good technique to search the images but still it faces some problem. One of the problems of CBIR is to represent the image as a feature vector. In this paper, we proposed a new feature vector using Color Layout Descriptor (CLD) to increase the accuracy of CBIR. We tested our technique on the Coral Database and compared the results with other CBIR techniques. Proposed method achieved better results than previous techniques. The proposed technique can be used by forensic department for the suspect identification using forensic database

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:CLD; CBIR; color layout descriptor; GFD
Subjects:T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions:Faculty of Computer Science and Information Technology > Department of Web Technology
ID Code:6548
Deposited By:Mrs. Nurhayati Ali
Deposited On:02 Mar 2015 15:52
Last Modified:26 May 2015 14:58

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