Gray-scale morphological granulometric texture classification

1994 ◽  
Vol 33 (8) ◽  
pp. 2713 ◽  
Author(s):  
Yidong Chen
Keyword(s):  
Texture Classification ◽  
Gray Scale

scholarly journals A Multiresolution Gray-Scale and Rotation Invariant Descriptor for Texture Classification

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 30691-30701 ◽  
Author(s):  
Qiqi Kou ◽  
Deqiang Cheng ◽  
Liangliang Chen ◽  
Kai Zhao
Keyword(s):  
Texture Classification ◽  
Gray Scale ◽  
Rotation Invariant

Texture Classification Based on Empirical Wavelet Transform Using LBP Features

2017 ◽  
Vol 8 (3) ◽  
pp. 623
Author(s):  
Ramesh P. ◽  
V. Mathivanan
Keyword(s):  
Wavelet Transform ◽  
Classification Accuracy ◽  
Local Binary Pattern ◽  
Color Image ◽  
Texture Classification ◽  
Automatic Inspection ◽  
Gray Scale ◽  
Novel Approach ◽  
Empirical Wavelet Transform ◽  
Inspection Systems

<p>Automatic inspection systems become more importance for industries with high productive plans especially in texture industry. A novel approach to Local Binary Pattern (LBP) feature for texture classification is proposed in this system. At the first, the proposed Empirical Wavelet Transform (EWT) based texture classification is tested on gray scale and color images by using Brodatz texture images. The gray scale and color image is decomposed by EWT at 2 and 3 level of decomposition. LBP features are calculated for each empirical transformed image. Extracted features are given as input to the classification stage. K-NN classifier is used for classification stage. The result of the proposed system gives satisfactory classification accuracy of over 98% for all types of images.</p>

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