A Novel Relevance Feedback Approach Based on Similarity Measure Modification in an X-Ray Image Retrieval System Based on Fuzzy Representation Using Fuzzy Attributed Relational Graph
Relevance feedback approaches is used to improve the performance of content-based image retrieval systems. In this paper, a novel relevance feedback approach based on similarity measure modification in an X-ray image retrieval system based on fuzzy representation using fuzzy attributed relational gr...
Main Authors: | Hossien Pourghassem, Hassan Ghasemian |
---|---|
Format: | Article |
Language: | English |
Published: |
Najafabad Branch, Islamic Azad University
2011-04-01
|
Series: | Journal of Intelligent Procedures in Electrical Technology |
Subjects: | |
Online Access: | http://jipet.iaun.ac.ir/pdf_4449_3a239d028b8d4be37b212762b543c5ae.html |
Similar Items
-
Salton and Buckley’s Landmark Research in Experimental Text Information Retrieval. A Review of: Salton, G., & Buckley, C. (1990). Improving retrieval performance by relevance feedback. Journal of the American Society for Information Science, 41(4), 288–297.
by: Christine F. Marton
Published: (2011-01-01) -
Implementing Relevance Feedback for Content-Based Medical Image Retrieval
by: Ali Ahmed
Published: (2020-01-01) -
An Improved Retrievability-Based Cluster-Resampling Approach for Pseudo Relevance Feedback
by: Shariq Bashir
Published: (2016-11-01) -
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls
by: Koopman, B., et al.
Published: (2023) -
Text-Based Information Retrieval Using Relevance Feedback
by: Krishnan, Sharenya
Published: (2011)