Texture analysis refers to the branch of imaging science that is concerned with the description of characteristic image properties by textural features. However, there is no universally agreed-upon definition of what image texture is and in general different researchers use different definitions depending upon the particular area of application (Tuceryan & Jain, 1998). In this chapter texture i...

We present a method that partitions a single image into two layers, requiring that one layer has similar properties in terms of pixel colour variation to a provided template patch. First, the paper provides a new view on defining a similarity function for a pixel with its small neighbourhood to be part of the texture described by the template patch. This results in better description of pixels ...

Bump mapping is a normal-perturbation rendering technique for simulating lighting effects caused by patterned irregularities on otherwise locally smooth surfaces. By encoding such surface patterns in texture maps, texture-based bump mapping simulates a surface’s irregular lighting appearance without modeling the patterns as true geometric perturbations to the surface. Bump mapping is advantageo...

A new method to describe sperm vitality using a hybrid combination of local and global texture descriptors is proposed in this paper. In this regard, a new adaptive local binary pattern (ALBP) descriptor is presented in order to carry out the local description. It is built by adding oriented standard deviation information to an ALBP descriptor in order to achieve a more complete representation ...

This paper presents a class of hierarchical fuzzy system applied to a cigar classification system. The weight, texture and chromatic characteristics are used to classify multiple cigars using a previous classification based on heuristic knowledge. In the adaptive part, a gradient descendent and error backpropagation method is applied for adjusting the parameters. A detailed description of the a...

Texture is one of the most informative visual cues that help us understand our environment. Texture analysis is an important step in many visual tasks, such as scene segmentation, object recognition, and shape and depth perception. In this chapter we consider the problem of texture recognition and provide an overview of our recent work on this topic ((21, 19, 18]). Our method is based on repres...

In this paper, we propose to use co-occurrence components. Spatial correlation of wavelet coefficients due features computed from multi-scale directional filter bank to the structure of textures can be captured by the co(MDFB) for texture characterization. As the filter band occurrence features. In this paper, we propose to use cocoefficients are localized frequency components, features from oc...

Lung cancer is distinguished by presenting one of the highest rates of mortality. Detecting and curing the disease in the early stages provides patients with a high chance of survival. Moreover, the presence of an excessive amount of water in lung is usually accompanied by a high mortality rate. Thus, there is an urge to develop an automatic technique for detecting and monitoring lung water. Th...

The problem of scale in shape from texture is addressed. The need for (at least) two scale parameters is emphasized; a local scale describing the amount of smoothing used for suppressing noise and irrelevant details when computing primitive texture descriptors from image data, and an integration scale describing the size of the region in space over which the statistics of the local descriptors ...