Texture Analysis And Characterization Using Probability Fractal Descriptors

05/13/2012
by   J. B. Florindo, et al.
0

A gray-level image texture descriptors based on fractal dimension estimation is proposed in this work. The proposed method estimates the fractal dimension using probability (Voss) method. The descriptors are computed applying a multiscale transform to the fractal dimension curves of the texture image. The proposed texture descriptor method is evaluated in a classification task of well known benchmark texture datasets. The results show the great performance of the proposed method as a tool for texture images analysis and characterization.

READ FULL TEXT

page 3

page 5

research
12/25/2014

Fractal descriptors based on the probability dimension: a texture analysis and classification approach

In this work, we propose a novel technique for obtaining descriptors of ...
research
12/26/2014

Texture analysis by multi-resolution fractal descriptors

This work proposes a texture descriptor based on fractal theory. The met...
research
12/08/2016

Discrete Schroedinger Transform For Texture Recognition

This work presents a new procedure to extract features of grey-level tex...
research
12/28/2015

Graph entropies in texture segmentation of images

We study the applicability of a set of texture descriptors introduced in...
research
04/21/2022

Multiscale Analysis for Improving Texture Classification

Information from an image occurs over multiple and distinct spatial scal...
research
02/13/2021

A Novel Bio-Inspired Texture Descriptor based on Biodiversity and Taxonomic Measures

Texture can be defined as the change of image intensity that forms repet...
research
11/21/2013

Texture descriptor combining fractal dimension and artificial crawlers

Texture is an important visual attribute used to describe images. There ...

Please sign up or login with your details

Forgot password? Click here to reset