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Co-occurrence matrix

A co-occurrence matrix or co-occurrence distribution is a matrix that is defined over an image to be the distribution of co-occurring pixel values… 
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Related topics

Related topics

12 relations
Bioimage informaticsColor mappingDigital imageGray level size zone matrix

Broader (1)

Image processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Rotation invariant co-occurrence features based on digital circles and discrete Fourier transform
2009
2009
Iris Recognition Using 3D Co-occurrence Matrix
This paper presents a biometric recognition based on the iris of a human eye using gray-level co-occurrence matrix (GLCM). A new… 
2007
2007
Texture based Text Detection in Natural Scene Images - A Help to Blind and Visually Impaired Persons
In this paper, we propose a texture based technique to detect text in grey level natural scene images. This work is a part of the… 
Highly Cited
2006
Highly Cited
2006
Determining Word Sense Dominance Using a Thesaurus
The degree of dominance of a sense of a word is the proportion of occurrences of that sense in text. We propose four new methods… 
2006
2006
Region-based CBIR in GIS with local space filling curves to spatial representation
2005
2005
Examining Lacunarity Approaches in Comparison with Fractal and Spatial Autocorrelation Techniques for Urban Mapping
The conventional spectral-based classification techniques have often been criticized due to the lack of consideration of images… 
2002
2002
Discriminant analysis of dual-wavelength spectral images for classifying poultry carcasses
1998
1998
Writer identification based on handwriting
This paper describes a text-independent writer identification method. The difficulties with writer identification are discussed… 
Highly Cited
1996
Highly Cited
1996
Generalized co-occurrence matrix for multispectral texture analysis
We present a new co-occurrence matrix based approach for multispectral texture analysis. The spectral and spatial domains of the… 
Highly Cited
1994
Highly Cited
1994
Local frequency features for texture classification
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