Content Based Image Retrieval Using Gray Scale Weighted Average Method
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 1
Abstract
High feature vector dimension quietly remained a curse element for Content Based Image Retrieval (CBIR) system which eventually degrades its efficiency while indexing similar images from database. This paper proposes CBIR system using Gray Scale Weighted Average technique for reducing the feature vector dimension. The proposed method is more suitable for color and texture image feature analysis as compared to color weighted average method as illustrated in literature review. To prove the effectiveness of retrieval system, two standard benchmark dataset namely, Wang and Amsterdam Library of Texture Images (A LOT) for color and texture have been selected to evaluate the system retrieval accuracies as well as efficiencies generated by each method. For the purpose of image similarity, Euclidean distance has been employed which matches query image feature vector with image database feature vectors. The experimental results generated by two methods showed that overall performance of the proposed method is relatively better in terms of average precision, average recall and its average retrieval time.
Authors and Affiliations
Kamlesh Kumar, Jian-Ping Li, Zain-ul-abidin , Riaz Shaikh
Keywords
Related Articles
- EP ID EP117657
- DOI 10.14569/IJACSA.2016.070101
- Views 84
- Downloads 0
Preliminary Study of Software Performance Models
Context: Software performance models can be obtained by applying for specific roles, skills and techniques in software life cycle, and it depends on formulating the software problem as well as gathering the performance r...
Evaluation of the Impact of Usability in Arabic University Websites: Comparison between Saudi Arabia and the UK
Today usability is a crucial factor that can affect any website. The purpose of this study is to explore major usability defects within Saudi university websites in comparison to British university websites from a Saudi...
Sensual Semantic Analysis for Effective Query Expansion
The information has evolved rapidly over the World Wide Web in the past few years. To satisfy information needs, users mostly submit a query via traditional search engines, which retrieve results on the basis of keyword...
An Auction-Bidding Protocol for Distributed Bit Allocation in RSSI-based Localization Networks
Several factors (e.g., target energy, sensor density) affect estimation error at a point of interest in sensor networks. One of these factors is the number of allocated bits to sensors that cover the point of interest wh...
Solving Word Tile Puzzle using Bee Colony Algorithm
In this paper, an attempt has been made to solve the word tile puzzle with the help of Bee Colony Algorithm, in order to find maximum number of words by moving a tile up, down, right or left. Bee Colony Algorithm is a ty...