In this work, we propose a novel technique for obtaining descriptors of gray-level texture images. The descriptors are provided by applying a multiscale transform to the fractal dimension of the image estimated through the probability (Voss) method. The effectiveness of the descriptors is verified in a classification task using benchmark over texture datasets. The results obtained demonstrate t...

Stochastic texture modelling is a useful tool for revealing the mechanisms underlying the generation of natural textures. This paper presents a description of the calculation of the stochastic texture parameters, when we assume an autoregressive model. The parameters are estimated with a least squares estimator. The paper also presents an approach to texture synthesis using the estimated parame...

The TEXRET-System, a texture retrieval system based on soft-computing technologies is being developed. The importance of this kind of system is increasing due to the massive access to digital image databases, which also demand the existence of systems that can understand human high-level requests. The TEXRET system has the following features: (i) direct access from the Internet, (ii) high inter...

In image processing, a static texture is defined as an image showing spatial stationarity, while A dynamic texture is a sequence of images characterized by temporal as well as spatial stationary nature. Dynamic Texture synthesis is the process of producing artificial Dynamic textures starting from a given sample texture. Videos representing flames, water, smoke, etc. are often defined as dynami...

The solid map provides a view-independent method for solid texturing using an ordinary 2-D surface texture map. The solid map transforms a model’s polygons into 2-D texture space without overlap. It then rasterizes the polygons in this space, interpolating the solid texture coordinates across the pixels of the polygon. These stored solid texture coordinates are then read by a texture synthesis ...

Within different techniques for texture modelling and recognition, local binary patterns and its variants have received much interest in recent years thanks to their low computational cost and high discrimination power. We propose a new texture description approach, whose principle is to extend the LBP representation from the local gray level to the regional distribution level. The region is re...

To address the problem of texture retrieval from image databases the TEXRET system was developed. TEXRET (TEXture RETrieval) uses soft-computing technologies to allow an interactive communication with the user. TEXRET main features are: (i) direct access from the Internet, (ii) high interactivity, (iii) texture retrieval using human-like or fuzzy description of the textures, (iv) content-based ...

Biometric identification systems recognize persons by a digital signature derived from a particular physiological attribute. One such attribute is the unique patterns that exist in the texture of an iris. These patterns provide sufficient information to uniquely identify an individual. Segmentation of the iris texture from an acquired digital image is not always accurate the image contains nois...

In this paper, we present a fast, simple and very powerful method for identifying human beings based on features of their iris texture. A very simple approach is presented to extract texture features of highly random iris texture on the contrary to current approaches that use complex mathematical description of the iris texture for feature extraction. The proposed method is tested with more tha...

Medical disease examination is often based on images. Mining these images in order to obtain the classification knowledge for automatic image classification is a challenging task. This task belongs to the field of image mining. Image mining is usually not only comprised of mining a table of numbers it has also to do with transforming the image in the right image description. Both, the image des...