图像纹理特征提取方法综述

刘丽, 匡纲要 - 中国图象图形学报, 2009 - cqvip.com
纹理是一种重要的视觉线索, 是图像中普遍存在而又难以描述的特征. 纹理分类与分割是图像
处理领域一个经久不衰的热点研究领域, 纹理特征提取作为纹理分类与分割的首要问题 …

Brief review of invariant texture analysis methods

J Zhang, T Tan - Pattern recognition, 2002 - Elsevier
This paper considers invariant texture analysis. Texture analysis approaches whose
performances are not affected by translation, rotation, affine, and perspective transform are …

Texture classification using the support vector machines

S Li, JT Kwok, H Zhu, Y Wang - Pattern recognition, 2003 - Elsevier
In recent years, support vector machines (SVMs) have demonstrated excellent performance
in a variety of pattern recognition problems. In this paper, we apply SVMs for texture …

Robust image watermarking based on multiband wavelets and empirical mode decomposition

N Bi, Q Sun, D Huang, Z Yang… - IEEE Transactions on …, 2007 - ieeexplore.ieee.org
In this paper, we propose a blind image watermarking algorithm based on the multiband
wavelet transformation and the empirical mode decomposition. Unlike the watermark …

Ultrasonic liver tissues classification by fractal feature vector based on M-band wavelet transform

WL Lee, YC Chen, KS Hsieh - IEEE Transactions on Medical …, 2003 - ieeexplore.ieee.org
Describes the feasibility of selecting a fractal feature vector based on M-band wavelet
transform to classify ultrasonic liver images-normal liver, cirrhosis, and hepatoma. The …

Texture classification using a novel, soft-set theory based classification algorithm

MM Mushrif, S Sengupta, AK Ray - … –ACCV 2006: 7th Asian Conference on …, 2006 - Springer
In this paper, we have presented a new algorithm for classification of the natural textures.
The proposed classification algorithm is based on the notions of soft set theory. The soft-set …

Automatic surface inspection using wavelet reconstruction

DM Tsai, B Hsiao - Pattern Recognition, 2001 - Elsevier
In this paper, we present a multiresolution approach for the inspection of local defects
embedded in homogeneous textured surfaces. The proposed method does not rely on the …

Automatic band selection for wavelet reconstruction in the application of defect detection

DM Tsai, CH Chiang - Image and Vision Computing, 2003 - Elsevier
In this paper, we present a multiresolution approach for the inspection of local defects
embedded in homogeneously textured surfaces. It is based on an efficient image restoration …

Stitching defect detection and classification using wavelet transform and BP neural network

WK Wong, CWM Yuen, DD Fan, LK Chan… - Expert Systems with …, 2009 - Elsevier
In the textile and clothing industry, much research has been conducted on fabric defect
automatic detection and classification. However, little research has been done to evaluate …

Multi-class feature selection for texture classification

X Chen, X Zeng, D Van Alphen - Pattern Recognition Letters, 2006 - Elsevier
In this paper, a multi-class feature selection scheme based on recursive feature elimination
(RFE) is proposed for texture classifications. The feature selection scheme is performed in …