H.5. Image Processing and Computer Vision
A Novel Content-based Image Retrieval System using Fusing Color and Texture Features

S. Asadi Amiri; Z. Mohammadpoory; M. Nasrolahzadeh

Volume 10, Issue 4 , November 2022, , Pages 559-568

https://doi.org/10.22044/jadm.2022.12042.2353

Abstract
  Content based image retrieval (CBIR) systems compare a query image with images in a dataset to find similar images to a query image. In this paper a novel and efficient CBIR system is proposed using color and texture features. The color features are represented by color moments and color histograms of ...  Read More

Image Retrieval based on Multi-features using Fuzzy Set

M. Azimi hemat; F. Shamsezat Ezat; M. Kuchaki Rafsanjani

Volume 10, Issue 4 , November 2022, , Pages 569-578

https://doi.org/10.22044/jadm.2022.11876.2337

Abstract
  In content-based image retrieval (CBIR), the visual features of the database images are extracted, and the visual features database is assessed to find the images closest to the query image. Increasing the efficiency and decreasing both the time and storage space of indexed images is the priority in ...  Read More

Relevance Feedback-based Image Retrieval using Particle Swarm Optimization

F. Jafarinejad; R. Farzbood

Volume 9, Issue 2 , April 2021, , Pages 245-257

https://doi.org/10.22044/jadm.2020.9014.2037

Abstract
  Image retrieval is a basic task in many content-based image systems. Achieving high precision, while maintaining computation time is very important in relevance feedback-based image retrieval systems. This paper establishes an analogy between this and the task of image classification. Therefore, in the ...  Read More