Performance Analysis of Color based Image Retrieval
Journal: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY (Vol.12, No. 4)Publication Date: 2014-01-19
Authors : Metty Mustikasari; Sarifuddin Madenda;
Page : 3373-3381
Keywords : Content-based image retrieval (CBIR); color histogram; color spaces; Euclidean distance; City block distance; precision; recall;
Abstract
Recently Content based image retrieval (CBIR) is an active research. This paper proposes a technique to retrieve images based on color feature and evaluate the retrieval system performance. In this retrieval system Euclidean distance and City block distance are used to measure similarity of images. This algorithm is tested by using Corel image database which is provided by James Wang.? The performance of retrieval system is measured in terms of its recall and precision.? The effectiveness of retrieval system is also measured based on Average Rank (AVRR) of all relevant retrieves images and Ideal Average Rank of relevant images (IAVRR). The experimental results show that city block has achieved higher retrieval performance than Euclidean distance.
Other Latest Articles
- A THEORETICAL APPROACH TO THE PROCESS OF INTERNATIONALIZATION OF SME's
- MECHANICAL CHARACTERIZATION OF ADVANCED CERAMIC MATERIALS USING NANOINDENTATION
- EXTRACELLULAR SYNTHESIS OF COPPER NANOPARTICLES USING DIFFERENT PLANT EXTRACT
- Scientific Thinking Skills Included in the First Three Elementary Stage Science Textbooks in Jordan: An Analytical and Evaluative Study
- FISCAL POLICY IN THE MECHANISM OF PUBLIC FINANCIAL MANAGEMENT
Last modified: 2016-06-29 18:20:48