Haralick Texture Extraction

Brief Description

Computes Haralick textural features on the selected channel of the input image

Tags

Feature Extraction, Textures

Long Description

This application computes three sets of Haralick features [1][2].
* simple: a set of 8 local Haralick features: Energy (texture uniformity) , Entropy (measure of randomness of intensity image), Correlation (how correlated a pixel is to its neighborhood), Inverse Difference Moment (measures the texture homogeneity), Inertia (intensity contrast between a pixel and its neighborhood), Cluster Shade, Cluster Prominence, Haralick Correlation;
* advanced: a set of 10 advanced Haralick features : Mean, Variance (measures the texture heterogeneity), Dissimilarity, Sum Average, Sum Variance, Sum Entropy, Difference of Entropies, Difference of Variances, IC1, IC2;
* higher: a set of 11 higher Haralick features : Short Run Emphasis (measures the texture sharpness), Long Run Emphasis (measures the texture roughness), Grey-Level Nonuniformity, Run Length Nonuniformity, Run Percentage (measures the texture sharpness homogeneity), Low Grey-Level Run Emphasis, High Grey-Level Run Emphasis, Short Run Low Grey-Level Emphasis, Short Run High Grey-Level Emphasis, Long Run Low Grey-Level Emphasis and Long Run High Grey-Level Emphasis.

Parameters

Input Image (in): The input image to compute the features on.
Selected Channel (channel): The selected channel index
Computation step (step): Step (in pixels) to compute output texture values. The first computed pixel position is shifted by (step-1)/2 in both directions.
Available RAM (Mb) (ram): Available memory for processing (in MB)
Texture feature parameters (parameters): This group of parameters allows one to define texture parameters.
- X Radius (parameters.xrad): X Radius
- Y Radius (parameters.yrad): Y Radius
- X Offset (parameters.xoff): X Offset
- Y Offset (parameters.yoff): Y Offset
- Image Minimum (parameters.min): Image Minimum
- Image Maximum (parameters.max): Image Maximum
- Histogram number of bin (parameters.nbbin): Histogram number of bin

Texture Set Selection (texture): Choice of The Texture Set
- Simple Haralick Texture Features (simple): This group of parameters defines the 8 local Haralick texture feature output image. The image channels are: Energy, Entropy, Correlation, Inverse Difference Moment, Inertia, Cluster Shade, Cluster Prominence and Haralick Correlation
- Advanced Texture Features (advanced): This group of parameters defines the 10 advanced texture feature output image. The image channels are: Mean, Variance, Dissimilarity, Sum Average, Sum Variance, Sum Entropy, Difference of Entropies, Difference of Variances, IC1 and IC2
- Higher Order Texture Features (higher): This group of parameters defines the 11 higher order texture feature output image. The image channels are: Short Run Emphasis, Long Run Emphasis, Grey-Level Nonuniformity, Run Length Nonuniformity, Run Percentage, Low Grey-Level Run Emphasis, High Grey-Level Run Emphasis, Short Run Low Grey-Level Emphasis, Short Run High Grey-Level Emphasis, Long Run Low Grey-Level Emphasis and Long Run High Grey-Level Emphasis

Output Image (out): Output image containing the selected texture features.
Load otb application from xml file (inxml): Load otb application from xml file
Save otb application to xml file (outxml): Save otb application to xml file

Limitations

The computation of the features is based on a Gray Level Co-occurrence matrix (GLCM) from the quantized input image. Consequently the quantization parameters (min, max, nbbin) must be appropriate to the range of the pixel values.

Authors

OTB-Team