Performing content-based image retrieval using rotated local binary pattern and multiple descriptors

  • Mehak Nigar Shumaila Department of Information Technology, Government College University, Faisalabad Pakistan
  • Mariam Rehman Department of Information Technology, Government College University, Faisalabad Pakistan
  • Maria Anjum Computer Science Department, Lahore College for Women University, Lahore Pakistan
  • Faria Kanwal Computer Science Department, Lahore College for Women University, Lahore Pakistan
  • Komal Bashir Computer Science Department, Lahore College for Women University, Lahore Pakistan

Abstract

Images have been viewed as a powerful medium for displaying visual information in numerous applications. Content-based retrieval and querying the indexed collections are required to access visual information. Content image retrieval is an efficient means of retrieving similar images from large repositories which require high speed and accuracy. The extraction of features is imperative for efficient results. Following research work aimed at colors and texture extraction for enhancing image metadata. The proposed technique was evaluated on WANG datasets using MATLAB. WANG consists of one thousand images of flowers, buildings and forest. Each category consists of one hundred images of size 187x126 or 126x187 in JPEG format. The features were extracted using RGB and HSV. Rotated Local Binary Patterns were used and distances between images was obtained using Euclidean algorithm. The results showed high accuracy and precision.

Published
Jul 1, 2022
How to Cite
SHUMAILA, Mehak Nigar et al. Performing content-based image retrieval using rotated local binary pattern and multiple descriptors. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 41, n. 3, p. 142-148, july 2022. ISSN 2413-7219. Available at: <https://publications.muet.edu.pk/index.php/muetrj/article/view/2525>. Date accessed: 16 aug. 2022. doi: http://dx.doi.org/10.22581/muet1982.2203.14.
Section
Articles
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License