This paper uses theory, simulation, and laboratory experiment, to show that directional illumination, used during the image acquisition process, acts as a directional filter of three dimensional texture. It is shown that the directional characteristics of image texture are not intrinsic to the physical texture being imaged, as they are affected by the direction of the illumination. This result ...

A new method for supervised texture classification, denoted by frame texture classification method (FTCM), is proposed. The method is based on a deterministic texture model in which a small image block, taken from a texture region, is modeled as a sparse linear combination of frame elements. FTCM has two phases. In the design phase a frame is trained for each texture class based on given textur...

Introduction: One of the most important physical education tasks in school is to learn motor actions. Biomechanical technologies can promote this process. A lesson different from a sports training, so it necessary keep mind its specifics. The purpose article analyse existing professional biomechanical complexes for their suitability use classes. Methods: We studied articles on biomechanics and ...

This paper explores the use of a hierarchical neuro-fuzzy model for image classification of macroscopic rock texture. The relevance of this study is to help Geologists in diagnosing and planning the oil reservoir exploitation. The same methodology can be also applied to metals, in order to classify the different types of materials based on their grain texture. We present an image classification...

This paper proposes a multiscale texture classifier which uses features extracted from both magnitude and phase responses of subbands at different resolutions of the dual-tree complex wavelet transform decomposition of a texture image. The mean and entropy in the transform domain are used to form a feature vector. The proposed method can achieve a high texture classification rate even for small...

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...

The segmentation of colored texture images is considered. Either luminance, color, and/or texture features could be used for segmentation. For luminance and color the classes are described using the corresponding empirical probability distributions. The Discrete Wavelet Frames analysis is used for obtaining features of texture patterns. At a first stage, pattern analysis is performed for extrac...

We present a method for labeling the land-cover in an aerial image using image texture statistics and a trained neural network to interpret the texture data. The introduction includes a brief discussion of land-cover mapping and the types of land-cover classes we would like to identify. There is a section describing the texture statistics used and the Gray Level Cooccurrence Matrix (GLCM) for c...

Partition of unity parametrics (PUPs) are a recent framework designed for geometric modeling. We propose employing PUPs for procedural texture synthesis, taking advantage of the framework’s guarantees of high continuity and local support. Using PUPs to interpolate among data values distributed through the plane, the problem of texture synthesis can be approached from the perspective of point pl...