Medical image enhancement algorithm based on NSCT and the improved fuzzy contrast-Reference-Cited by-同舟云学术

Medical image enhancement algorithm based on NSCT and the improved fuzzy contrast

Published:2015-02-09 Issue:1 Volume:25 Page:7-14
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int. J. Imaging Syst. Technol.

Author:

Wang Jing-jing¹,Jia Zhen-hong¹,Qin Xi-zhong¹,Yang Jie²,Kasabov Nikola³

Affiliation:

1. College of Information Science and Engineering; Xinjiang University; Urumqi 830046 China

2. Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University; Shanghai 200400 China

3. Knowledge Engineering and Discovery Research Institute, Auckland University of Technology Auckland 1020; New Zealand

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/ima.22115/fullpdf

Reference18 articles.

1. Weight clustering histogram equalization for medical image enhancement;Bazarragchaa;Communications Workshops,2009

2. Locally adaptive bivariate shrinkage algorithm for image denoising based on nonsubsampled contourlet transform;Cai;IEEE 2010 Intl Conf Comput Macaronis Control Electron Eng,2010

3. Medical image enhancement using intuitionistic fuzzy set;Chaira;Recent Adv Inform Technol (RAIT),2012

4. Fuzzy image enhancement algorithm based on NSCT;Du;Comput Eng,2012

5. Development of multiscale Retinex algorithm for medical image enhancement based on multi-rate sampling;Hanumantharaju;Signal Process Image Process Pattern Recognit (ICSIPR),2013

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