Image retrieval based on chain code algorithm using color and texture features
Other Title(s)
استرجاع الصور بالاعتماد على خوارزمية ترميز السلسلة و استخدام خصائص اللون و النسيج
Joint Authors
Ahmad, Ali M.
Sadi, Sadi M.
Husayn, Karrar Nimah
Source
Journal of Kufa for Mathematics and Computer
Issue
Vol. 4, Issue 2 (30 Jun. 2017), pp.18-26, 9 p.
Publisher
University of Kufa Faculty of Mathematics and Computers Science
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Topics
Abstract EN
The rapid growth of image retrieval has provided an efficient Content-Based Image Retrieval (CBIR) system to retrieve image accurately.
In this paper, a precise retrieval result by exploiting color, texture and shape features is proposed.
First, extract the features by color moment and (Hue, Saturation, Value (HSV)) color space as a color feature, and then get the co-occurrence matrix as well as Discrete Wavelet Transform (DWT) for a texture feature.
Chain codes algorithm, specifically chain code histogram, is then applied to obtain the codes of the shape feature.
Second, collect all these features and store it in the database, where each record represents one image of the dataset.
Similarity process is executed to find the images that are more similar to the query image, retrieved images ranked.
The dataset applied in this study is WANG that includes 10 classes with each class containing 100 images.
Experimental results have revealed that the proposed method outperformed the previous studies with an average of 0.824 in term of precision.
American Psychological Association (APA)
Ahmad, Ali M.& Sadi, Sadi M.& Husayn, Karrar Nimah. 2017. Image retrieval based on chain code algorithm using color and texture features. Journal of Kufa for Mathematics and Computer،Vol. 4, no. 2, pp.18-26.
https://search.emarefa.net/detail/BIM-756552
Modern Language Association (MLA)
Ahmad, Ali M.…[et al.]. Image retrieval based on chain code algorithm using color and texture features. Journal of Kufa for Mathematics and Computer Vol. 4, no. 2 (Jun. 2017), pp.18-26.
https://search.emarefa.net/detail/BIM-756552
American Medical Association (AMA)
Ahmad, Ali M.& Sadi, Sadi M.& Husayn, Karrar Nimah. Image retrieval based on chain code algorithm using color and texture features. Journal of Kufa for Mathematics and Computer. 2017. Vol. 4, no. 2, pp.18-26.
https://search.emarefa.net/detail/BIM-756552
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 26
Record ID
BIM-756552