The appearance of a surface texture is highly dependent on illumination. This is why current surface texture classification methods require multiple training images captured under a variety of illumination conditions for each class. We show that a single training image per class can be sufficient if the surfaces are of uniform albedo and smooth and shallow relief, and the illumination is suffic...

, a nonuniform color space, is almost universally accepted by the image processing community as the means for representing color. On the other hand, perceptually uniform spaces, such as , as well as approximately-uniform color spaces, such as , exist, in which measured color differences are proportional to the human perception of such differences. This paper compares with and in terms of their ...

in this work, the effects of acetic and lactic acids addition to rice during cooking, on the texture and morphological properties, and too, the gelatinization temperature (gt) of the cooked domsiyah rice was investigated. all experiments were carried out in triplicate and data analyzed in randomized completely by spss15 software. the results showed that acid addition to rice during cooking caus...

This paper presents a fully unsupervised texture segmentation algorithm by using a modified discrete wavelet frames decomposition and a mean shift algorithm. By fully unsupervised, we mean the algorithm does not require any knowledge of the type of texture present nor the number of textures in the image to be segmented. The basic idea of the proposed method is to use the modified discrete wavel...

In this paper, the texture feature ”coarseness” is modelled by means of a fuzzy partition on the domain of coarseness measures. The number of linguistic labels to be used, and the parameters of the membership functions associated to each fuzzy set are calculated relating representative coarseness measures (our reference set) with the human perception of this texture property. A wide variety of ...

Surveillance of large areas of the Earths surface is often undertaken with low resolution synthetic aperture radar (SAR) imagery from either a satellite or a plane. There is a need to process these images with automatic target detection (ATD) algorithms. Typically the targets being searched for are vehicles or small vessels, which occupy only a few resolution cells. Simple thresholding is usual...

We introduce a new appearance-modeling paradigm for synthesizing the internal structure of a 3D model from photographs of a few cross-sections of a real object. When the internal surfaces of the 3D model are revealed as it is cut, carved, or simply clipped, we synthesize their texture from the input photographs. Our texture synthesis algorithm is best classified as a morphing technique, which e...

Pigeons are known to be able to categorize a wide variety of visual stimulus classes. However, it remains unclear which are the characteristics of the perceptually relevant features employed to reach such good performance. Here, we investigate the relative contributions of texture and shape information to categorization decisions about complex natural classes. We trained three groups of pigeons...

BACKGROUND In the development of tissue classification methods, classifiers rely on significant differences between texture features extracted from normal and abnormal regions. Yet, significant differences can arise due to variations in the image acquisition method. For endoscopic imaging of the endometrium, we propose a standardized image acquisition protocol to eliminate significant statistic...

texture, one of the important elements in visual arts, is produced in different ways. whereas each painting is a multilayered object, any separate layer can have its own distinct texture. texture can be resulted of inherent nature of artist's depicted materials, such as canvas or support, and it can be, also, produced in the ground or paint layers. in addition, by using of different materi...