Framework for image retrieval using machine learning and statistical similarity matching techniques-Reference-Cited by-同舟云学术

Framework for image retrieval using machine learning and statistical similarity matching techniques

Published:2013-02 Issue:1 Volume:7 Page:1-11
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Fakheri Majid¹,Sedghi Tohid¹,Shayesteh Mahrokh G.¹²,Amirani Mehdi Chehel¹

Affiliation:

1. Department of Electrical EngineeringUrmia UniversityUrmiaIran

2. Wireless Research Laboratory, ACRI, Electrical Engineering DepartmentSharif UniversityTehranIran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2012.0104

Reference15 articles.

1. 2010 Proc. IEEE Machine Vision and Image Processing Symp. T. Sedghi M. Fakheri M.G. Shayesteh Region and content based image retrieval using advanced image processing technique

2. 2010 Proc. IEEE Machine Vision and Image Processing Symp. T. Sedghi M. Fakheri M. Amirani Features composition for proficient and real time retrieval in content based image retrieval system

3. A region-based fuzzy feature matching approach to content-based image retrieval

4. 2000 Proc. Eighth ACM Int. Conf. on Multimedia J. Li J.Z. Wang G. Wiederhold IRM: integrated region matching for image retrieval 147 156

5. 2009 Proc. Int. Forum on Information Technology and Applications Z. Rui‐zhe Y. Jia‐zheng H. Jing‐hua W. Yu‐jian B. Hong A novel generalized SVM algorithm with application to region‐based image retrieval 280 283

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