A Novel Approach Based on Decreased Dimension and Reduced Gray Level Range Matrix Features for Stone Texture Classification

A Novel Approach Based on Decreased Dimension and Reduced Gray Level Range Matrix Features for Stone Texture Classification

Received Mar 31, 2017 Revised Jun 5, 2017 Accepted Sept 11, 2017 The human eye can easily identify the type of textures in flooring of the houses and in the digital images visually. In this work, the stone textures are grouped into four categories. They are bricks, marble, granite and mosaic. A novel approach is developed for decreasing the dimension of stone image and for reducing the gray lev...

Feature Fusion Technique for Colour Texture Classification System Based on Gray Level Co-occurrence Matrix

In this study, an efficient feature fusion based technique for the classification of colour texture images in VisTex album is presented. Gray Level Co-occurrence Matrix (GLCM) and its associated texture features contrast, correlation, energy and homogeneity are used in the proposed approach. The proposed GLCM texture features are obtained from the original colour texture as well as the first no...

Texture Features from Gray level Gap Length Matrix

sever& texture features are introduced from a proposed higher-order statistical matrix, the gray level gap length matrix (GLGLM). The GLGLM measures the gray level variations in an image. It complements the gray level run length matrix (GLRLM) and is more superior when the number of gray level is large. Features extracted from the weighted GLGLM can be used to estimate the size distribution of ...

A New Approach for the Fingerprint Classification Based On Gray-Level Co- Occurrence Matrix

In this paper, we propose an approach for the classification of fingerprint databases. It is based on the fact that a fingerprint image is composed of regular texture regions that can be successfully represented by co-occurrence matrices. So, we first extract the features based on certain characteristics of the cooccurrence matrix and then we use these features to train a neural network for cla...

Texture Classification Methods Gray Level Co-occurrence Matrix and Texture Unit