This internship report deals with the synthesis of sound textures based on a statistical description. The synthesis model under investigation was proposed by Josh McDermott and Eero Simoncelli in 2011 (McDermott & Simoncelli, 2011). First the definition of what is a sound texture will be discussed. This is followed by a description of model under investigation, insights on the theoretical aspec...

Texture plays an important role in visual information processing since texture provides useful information about shape, orientation, and depth of the objects. The human visual system utilizes texture without difficulty as one of the visual cues for image interpretation, scene analysis and object recognition. However, to extract and to analyze texture are difficult tasks in machine perception in...

This paper presents a method for applYIng mducllve learnmg techniques [0 tel{ture description Jnd recogmtlon. Local features of texture are computed by tWO well-known methods. Laws' masks and cO-Q<;currence matnces. Then. a three-level generalizaliOll of local features IS applied (0 .:reate teltture descnpllon rules. The fU"St level genera/ization. the scaling intertace. has been implemented to...

The TEXRET-System, a texture retrieval system based on soft-computing technologies is being developed at University of Chile. One of its main features is that texture queries using human-like or qualitative description of textures are allowed. This human-like description of the textures was the subject of a psychological study that is described in this article. To our knowledge this is one the ...

The main focus of this paper is the analysis of modern methods of algorithmic plant generation. First, a brief introduction is given to the necessary formalism: Lindenmayer system. It is followed by a description of each stage of plant generation process. These include algorithms for obtaining: leaf venation graph, leaf texture, stem texture, and the geometry and topology of the whole plant. In...

A new method for analyzing macro texture using perceptual observables is presented. The typical geometric Gestalt grouping criteria such as proximity and parallelism are extended with descriptive measures of topology and photometry enabled by region neighborhood analysis. It is proposed that these perceptual measures provide a common description of image content encompassing both macro texture ...

A common method for texture representation is to use the marginal probability densities over the outputs of a set of multi-orientation, multi-scale filters as a description of the texture. We propose a technique, based on Independent Components Analysis, for choosing the set of filters that yield the most informative marginals, meaning that the product over the marginals most closely approximat...

Dynamic texture is an extension of texture to the temporal domain. Description and recognition of dynamic textures has attracted growing attention. In this paper, a new method for recognizing dynamic textures is proposed. The textures are modeled with volume local binary patterns (VLBP), which are an extension of the LBP operator widely used in still texture analysis, combining the motion and a...

Texture features have long been used in remote sensing applications for representing and retrieving regions similar to a query region. Various representations of texture have been proposed based on the power spectrum, grey-level cooccurrence matrices, wavelet features, Gabor features, etc. Analysis of several co-occurring pixel values may benefit texture description but is impeded by the expone...

Texture models are widely in use for image content description. In remote-sensing images textures occur at very different scales, requiring the application of several texture models. This paper presents a scale selection algorithm based on a multi-scale random field model with a dynamic pyramidal structure. The algorithm returns the scales and the regions where texture is present. It is designe...