Chapter 14

 

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Texture

Chapter 14.1 Statistical texture description

Methods based on spatial frequencies
Co-occurrence matrices
Edge frequency
Primitive length (run length)
Laws' texture energy measures
Fractal texture description
Other statistical methods of texture description

14.2 Syntactic texture description

Shape chain grammars
Graph grammars
Primitive grouping in hierarchical textures

Overview

There is no formal definition of texture. However it is usually interpreted to measure qualities such as smoothness, coarseness, regularity, and direction

Texture can be characterized by different metrics such as:

statistical metrics: characterize smooth, coarse, grainy, etc. using traditional statistical values such as mean and variance.

structural metrics: patterns based on image primitives such as lines or other repeating structures in the image

spectral metrics: based on properties of the Fourier Transform such as symmetry, directionality.

Applications of Texture Processing

Segmentation

Create textures for image generation, compression, steganography (image watermarking)

 


Methods based on spatial frequencies

 


Co-occurrence matrices

 


Edge frequency

 


Primitive length (run length)

 


Laws' texture energy measures

 


Fractal texture description

 


Other statistical methods of texture description

Chapter 14.2 Syntactic texture description

Shape chain grammars
Graph grammars
Primitive grouping in hierarchical textures


Shape chain grammars

 


Graph grammars

 


Primitive grouping in hierarchical textures

Page last updated on 04/06/01

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