alceufc/sfta

Version 1.5.0.0 (4,76 ko) par Alceu Costa
Implementation of the SFTA algorithm for texture feature extraction.
4.8
(6)
7,9K téléchargements
Mise à jour 2 nov. 2016
Afficher la licence sur GitHub

Extract texture features from an image using the SFTA (Segmentation-based Fractal Texture Analysis) algorithm. To extract features, use the sfta(I, nt) function, where I corresponds to the input grayscale image and nt is a parameter that defines the size of the feature vector.
The features are returned as a 1 by (6*nt -3) vector.
Example:

I = imread('coins.png');
D = sfta(I, 4)

Brief description of the SFTA algorithm:

The extraction algorithm consists in decomposing the input image into a set of binary images from which the fractal dimensions of the resulting regions are computed in order to describe segmented texture patterns.

Publication where the SFTA algorithm is described:

Costa, A. F., G. E. Humpire-Mamani, A. J. M. Traina. 2012. "An Efficient Algorithm for Fractal Analysis of Textures." In SIBGRAPI 2012 (XXV Conference on Graphics, Patterns and Images), 39-46, Ouro Preto, Brazil.

Here I show how SFTA can be used to classify textures:

http://www.alceufc.com/classification,/computer/vision,/descriptor,/feature/extraction,/image/processing,/matlab,/texture/descriptor/2013/09/02/texture-classification.html

Citation pour cette source

Alceu Costa (2024). alceufc/sfta (https://github.com/alceufc/sfta), GitHub. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2013a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

matlab

Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées

Version Publié le Notes de version
1.5.0.0

Updated link to blog post.
Fixed a bug where part of the feature vector was redundant.
1.4.0.0

Just added a screenshot to illustrate the submission. The code is the same.
1.2.0.0

Updated file description to include a link showing how the feature extractor can be used in texture classification.
1.1.0.0

Removed iptchecknargin calls.
1.0.0.0

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.