This paper considers the problem of automatic estimation of crowd densities, an important part of the problem of automatic crowd monitoring and control. A new technique based on texture description of the images of the area under surveillance is proposed. Two methods based on different approaches of texture analysis, one statistical and another spectral, are applied on real images captured in a...

Abstract In metallurgical processes, as for example cold rolling or deep drawing of sheet metal, it is frequently observed that the crystallographic texture, and with anisotropic mechanical properties a material, evolve dynamically. Hence, to describe such necessary model functional dependence material parameters on which itself can vary locally different plastic strain histories. this work, we...

Local feature description is to assign a unique signature key-point such that it becomes distinctive from the others regardless of changes in viewpoint, illumination, rotation, scale as well distortions and noise. This paper proposes novel approach construct descriptor. For preserving both homogeneous heterogeneous features given support region, we interweave texture information so more likely ...

A model for probabilistic independent component subspace analysis is developed and applied to texture description. Experiments show it to perform comparably to a Gaussian model, and to be useful mainly for problems in which the detection of little occurring, highfrequency image elements is important.

The growing of multimedia content has motivated the need of tools to do image browsing and annotation; several texture descriptors have been proposed, but the high degree of complexity textures can achieve has limited their success. In this paper the concept of subtexture is introduced in order to make the automatic description of a texture adaptable to its complexity degree. A subtexture compo...

This paper presents a new approach fur the description of directional textures based on the stady of their orientation and cuherence fields. We apply the featurebased interaction maps to the characterization of an orientation field. The features are extracted from orientation spatial difference histograms. The representation of a feature, as a ftinctiun of the spacing vector used to compute the...

In our paper we introduce comprehensive solution for processing and archiving information about artwork specimens used in the course of art restoration – Nephele. The information processing based on image data is used in the procedure of identification of pigment and binder present in the artwork, which is very important issue for restorers. Proposed approach geometrically aligns images of micr...

In this study, we propose two descriptors on color and texture for content based segmentation. The descriptors are called “the most similar colors in the same neighborhood” and “the most similar textures in the same neighborhood“, respectively. These descriptors are applied on a multi-level segmentation algorithm proposed by the authors of this study [1]. The segmentation algorithm decomposes t...