The main result of the paper is the derivation of the evolution equation of the tensorial texture coefficients of the crystallite orientation distribution function (codf). The evolution equation of each coefficient depends on the complete codf and the lattice spin, which is a constitutive quantity. For the solution of the differential equation based on a finite number of coefficients, the codf ...

An efficient texture modeling framework based on Topological Attribute Patterns (TAP) is presented considering topology related attributes calculated from Local Binary Patterns (LBP). Our main contribution is to introduce new efficient mapping mechanisms that improve some typical mappings for LBP-based operators in texture classification such as rotation invariant patterns ( ri ), rotation inva...

This letter proposes a novel dual-output pulse coupled neural network model (DPCNN). The new model is applied to obtain a more stable texture description in the face of the geometric transformation. Time series, which are computed from output binary images of DPCNN, are employed as translation-, rotation-, scale-, and distortion-invariant texture features. In the experiments, DPCNN has been wel...

Human faces diier in shape and texture. This paper describes a representation of grey-level images of human faces based on an automated separation of two-dimensional shape and texture. The separations were done using the point correspondence between the diierent images, which was established through algorithms known from optical ow computation. A linear description of the separated texture and ...

Human faces di er in shape and texture. This paper describes a representation of grey-level images of human faces based on an automated separation of two-dimensional shape and texture. The separations were done using the point correspondence between the di erent images, which was established through algorithms known from optical ow computation. A linear description of the separated texture and ...

Breast cancer is the second cause of death among women cancers. Computer Aided Detection has been demonstrated an useful tool for early diagnosis, a crucial aspect for a high survival rate. In this context, several research works have incorporated texture features in mammographic image segmentation and description such as Gray-Level co-occurrence matrices, Local Binary Patterns, and many others...

In Content-Based Image Retrieval (CBIR), images have to be segmented into the main semantic parts describing the objects present in the image. The texture is one of important features which identify and characterize the objects of an image. So, we propose a method based on wavelet decomposition. This technique delivers a schematic description of an image : that is to say, it provides the main r...

Content based image retrieval is the task of searching images from a database, which are visually similar to a given example image. In this work we present methods for content based image retrieval based on texture similarity using interest points and Gabor features. Interest point detectors are used in computer vision to detect image points with special properties, which can be geometric (corn...

We present a method to measure reflectance and texture of surfaces in a one step process. For later use in digital image synthesis it is mandatory to separate the gathered intensity values into these two parts to eliminate highlighting artifacts from textures. Our image-based measurement system delivers bidirectional reflectance distribution function (BRDF) values distributed over the surface o...