Texture analysis methods have been used in various image processing tasks, such as image segmentation, recognition, shape analysis, texture synthesis and image compression. When applying any of these methods, we assume that the input image has some textural characteristics. This paper addresses the problem of deciding whether an image has texture; in other words, whether texture-based methods a...

Texture classification is used in a large number of fields, ranging from industrial applications to remote sensing and biomedical engineering. The problem is traditionally solved by first computing texture descriptors (i.e. feature vectors) from image data and then performing supervised or unsupervised classification. In this paper we adopt the Local Binary Patterns descriptor [3], and focus on...

We present a texture network called Deep Encoding Pooling Network (DEP) for the task of ground terrain recognition. Recognition of ground terrain is an important task in establishing robot or vehicular control parameters, as well as for localization within an outdoor environment. The architecture of DEP integrates orderless texture details and local spatial information and the performance of DE...

There has been growing interest in the application of fractal geometry to observe spatial complexity of natural features at different scales. This study utilized three different fractal approaches—isarithm, triangular prism, and variogram—to characterize texture features of urban land-cover classes in highresolution image data. For comparison purpose and to better evaluate the efficiency of fra...

water erosion causes severe soil damage in northern forests of iran which is associated with different rut depths in skid trails. the aim of this study was to assess rutting and soil displacement on skid trails to mitigate water erosion. therefore the research was carried out in eight parcels of district no 3 of shafarood forest in the north of iran. in order to evaluate the amount of erosion i...

T exture analysis is the extraction of textural features from images (Tuceryan and Jain, 1998). The meaning of texture varies, depending on the area of science in which it is used. In general, texture refers to the physical character of an object or the appearance of an image. In image analysis, texture is defined as a function of the spatial variation in intensities of pixels (Tuceryan and Jai...

Running Title: A survey on texture-based visualization methods. ABSTRACT Visualization of vector data produced from application areas such as computational uid dynamics (CFD), environmental sciences , and material engineering is a challenging task. Traditional visualization approaches, such as vector plot, particle tracing, stream surfaces, volume rendering, and so on, often provide a rather co...

We present three descriptors of texture feature of a region. Namely, the homogeneous texture descriptor (HTD), the edge histogram descriptor (EHD), and the perceptual browsing descriptor (PBD). They are currently included in the Committee Draft of the MPEG-7 Visual (ISO/IEC 15938-3). Each descriptor has a unique functionality and application domain. HTD and EHD describe statistical distribution...

In this paper we have investigated a new approach for texture features extraction using co-occurrence matrix from volumetric lung CT image. Traditionally texture analysis is performed in 2D and is suitable for images collected from 2D imaging modality. The use of 3D imaging modalities provide the scope of texture analysis from 3D object and 3D texture feature are more realistic to represent 3D ...