Noisy texture classification: A higher-order statistics approach-Reference-Cited by-同舟云学术

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Noisy texture classification: A higher-order statistics approach

Published:1998-04 Issue:4 Volume:31 Page:383-393
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Murino Vittorio,Ottonello Cinthya,Pagnan Sergio

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference29 articles.

1. Higher-Order Spectra Analysis, A Nonlinear Signal Processing Framework;Nikias,1993

2. Signal processing with higher-order spectra;Nikias;IEEE Signal Process. Magazine,1993

3. Texture model validation using higher-order statistics;Hall,1991

4. Testing for Gaussianity and linearity of a stationary time series;Hinich;J. Time Ser. Analysis.,1982

5. Texture: A Photographic Album for Artists and Designers;Brodatz,1966

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Noise robust and rotation invariant framework for texture analysis and classification;Applied Mathematics and Computation;2018-10

2. Multifeature‐based medical image segmentation;IET Image Processing;2018-08

3. Upper and lower volumetric fractal descriptors for texture classification;Pattern Recognition Letters;2017-06

4. Extracting morphologies from third harmonic generation images of structurally normal human brain tissue;Bioinformatics;2017-01-27

5. ELM based signature for texture classification;Pattern Recognition;2016-03

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