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 77
- Downloads 0
Using an Integrated Framework for Conceptual Modeling
The Integrated Framework for Conceptual Modeling (IFCMod) is created to contribute to the quality of the information system through the integration of the functional and non-functional requirements. This paper attempts t...
Prediction of Visibility for Color Scheme on the Web Browser with Neural Networks
In this study, we propose neural networks for predicting the visibility of color schemes. In recent years, most of us have accessed websites owing to the spread of the Internet. It is necessary to design web pages that a...
Thinging Machine Applied to Information Leakage
This paper introduces a case study that involves data leakage in a bank applying the so-called Thinging Machine (TM) model. The aim is twofold: (1) Presenting a systematic conceptual framework for the leakage problem tha...
Jabber-based Cross-Domain Efficient and Privacy-Ensuring Context Management Framework
In pervasive environments, context-aware applications require a global knowledge of the context information distributed in different spatial domains in order to establish context-based interactions. Therefore, the design...
An Adaptive Heart Disease Behavior-Based Prediction System
Heart disease prediction is a complex process that is influenced by several factors, including the combination of attributes leading to the possibility of heart disease and availability of these attributes in the databas...