This chapter reviews and discusses various aspects of texture analysis. The concentration is on the various methods of extracting textural features from images. The geometric, random field, fractal, and signal processing models of texture are presented. The major classes of texture processing problems such as segmentation, classification, and shape from texture are discussed. The possible appli...

ABSTRACT Background: This work investigated radioactive contamination in soils of the pine forest in the territory adjacent to Semipalatinsk test site. Materials and Methods: Thirty samples from the soil were collected from six different a soil profile was laid out (research areas). Activity concentrations of 137Cs and 241Am were determined using a Canberra GX-2020 solid-state gamma-spectromet...

The focus of the work reported here is to evaluate a selection of readily available rices to determine cooking, freeze drying and rehydration characteristics, with the aim of improving the quality of freeze dried rice used in Australian military ration packs. Samples were examined by sensory evaluation, texture profile analysis and environmental scanning electron microscopy. The findings of thi...

A method for finding all images from the same category as a given query image (termed categorization) using texture features is presented. The hypothesis that two images that are similar in texture are likely to belong to the same category, is examined. A new texture feature termed N M -gram is presented. It is based on theN -gram technique that is commonly used for text similarity. The process...