Methods for the analysis of digital-image texture are reviewed. The functions of MaZda, a computer program for quantitative texture analysis developed within the framework of the European COST (Cooperation in the Field of Scientific and Technical Research) B11 program, are introduced. Examples of texture analysis in magnetic resonance images are discussed.

ABSTRACT- In this study, texture profile analysis and a creep test were used to determine the textural quality attributes of fish protein isolates and conventional surimi. These isolates were made from raw materials obtained from filleting processes of Silver carp (Hypophthalmichthys molitrix) using acid and alkaline aided treatments. Texture profile analysis was performed in order to obtain ha...

This paper presents an extended bio-inspired texture (E-BiT) descriptor for image characterization. The E-BiT combines global ecological concepts of species diversity, evenness, richness, and taxonomic indexes to effectively capture patterns at local levels while maintaining invariance scale, translation, permutation. First, we pre-processed the images by normalizing applying geometric transfor...

In practice, image segmentation can be performed in many areas like medical and satellite communications to detect objects and regions in the image.The texture enhancement methods representing all texture information using a single image component. In previous texture enhancement methods reduce noise or artifacts in the image to highlight the textures with the help of filters which reduces the ...

In this paper, we propose a texture representation framework to map local texture patches into a low-dimensional texture subspace. In natural texture images, textons are entangled with multiple factors, such as rotation, scaling, viewpoint variation, illumination change, and non-rigid surface deformation. Mapping local texture patches into a low-dimensional subspace can alleviate or eliminate t...

In this letter, we adapt a well-known technique of image texture analysis (grey-level co-occurrence matrix) to compute similarity between musical audio signals. Grey-level cooccurrence matrices estimate the joint probability of pairs of pixel values separated by a spatial displacement vector. Instead of using pixel grey-level values, we propose to use frame-based audio features, obtained either...

This paper considers invariant texture analysis. Texture analysis approaches whose performances are not a,ected by translation, rotation, a.ne, and perspective transform are addressed. Existing invariant texture analysis algorithms are carefully studied and classi0ed into three categories: statistical methods, model based methods, and structural methods. The importance of invariant texture anal...

Texture plays an important role in computer vision. It is one of the most important visual attributes used in image analysis, once it provides information about pixel organization at different regions of the image. This paper presents a novel approach for texture characterization, based on complexity analysis. The proposed approach expands the idea of the Mass-radius fractal dimension, a method...

Some mixtures, such as colloids like milk, blood, and gelatin, have homogeneous appearance when viewed with the naked eye, however, to observe them at the nanoscale is possible to understand the heterogeneity of its components. The same phenomenon can occur in pattern recognition in which it is possible to see heterogeneous patterns in texture images. However, current methods of texture analysi...