Graph wavelet transform for image texture classification-Reference-Cited by-同舟云学术

Graph wavelet transform for image texture classification

Published:2021-04-16 Issue: Volume: Page:
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Qiao Yu‐Long¹,Zhao Yue¹,Song Chun‐Yan²,Zhang Kai‐Ge³,Xiang Xue‐Zhi¹

Affiliation:

1. College of Information and Communications Engineering Harbin Engineering University Harbin Heilongjiang PR China

2. College of Mechanical and Electrical Engineering Northeast Forestry University Harbin Heilongjiang PR China

3. Department of Computer Science Utah State University Logan Utah USA

Funder

National Natural Science Foundation of China

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/ipr2.12220

Reference46 articles.

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3. Analysis of nuclei textures of fine needle aspirated cytology images for breast cancer diagnosis using complex daubechies wavelets;Niwas S.I.;Signal Process.,2013

4. Filho P.L.P. et al.:Forest species recognition using color‐based features. In:International Conference on Pattern Recognition pp.4178–4181.IEEE Computer Society Los Alamitos(2010)

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