introduction: β-glucan is the most important water soluble fiber found in cell wall of some cereals such as barley, oat, wheat and rye, that are composed of β-d-glucoseunits with (1→4) (70%) and (1→3) (30%)anomericbonds(benito-román, alonso, & cocero, 2013).β-glucan is regarded as a dietary fiber in functional foods. it can act as a hydrocolloid due to its thickening characteristic in aqueous p...

In this research we described the effective Hamiltonian theory and applied this theory to the calculation of current-current (Q1,2) and QCD penguin (Q3,…,6) c quark decay rates. We calculated the decay rates of semileptonic and hadronic of charm quark in the effective Hamiltonian theory. We investigated the decay rates of D meson decays according to Spectator Quark Model (SQM) for the calculati...

A feature extraction method is at the core of most multispectral or hyperspectral processing algorithms aiming at classification, compression, colour representation etc. In this work a comparison between three different feature extraction methods, for the case of MERIS data is carried out. This comparison reveals the different properties and drawbacks of each method.

Abstract Structural coloration is the production of colour by micro- or nano-structures fine enough to interfere with visible light. colouration responsible for blues and greens many animals, as well gold, silver, some purple-pink colours. These are often saturated might be extremely shimmering and/or iridescent. The study structural an active interdisciplinary field research where biology, phy...

Image segmentation is one of the analytical processes for digital image recognition, where this process divides into several unique regions based on homogeneous pixels. The grouping images colour, texture and shape features. Colour in processing very important because colour has many information humans can easily understand. various features, combining intensity grey (grayscale) binary (black w...

This paper describes a method for colour texture analysis, which performs segmentation based on colour and texture information. The main goal of this approach is to examine the contribution of chromaticity features in the analysis of texture. Local binary pattern and discrete cosine transform are the techniques utilised as a tool to perform feature extraction. Segmentation is carried out based ...

Texture features are important factor in content based image retrieval. Texture descriptors are important factor in grey scale images, but due to advancements in colour image processing textures descriptors are developed a major factor for colour space images. In this paper various colour and grey scale based texture features have been discussed that can be used for extraction of texture histog...

We have developed a new prior-based source extraction tool, XID+, to carry out photometry in the Herschel SPIRE (Spectral and Photometric Imaging Receiver) maps at the positions of known sources. XID+ is developed using a probabilistic Bayesian framework that provides a natural framework in which to include prior information, and uses the Bayesian inference tool Stan to obtain the full posterio...

This chapter presents a novel and generic framework for image segmentation using a compound image descriptor that encompasses both colour and texture information in an adaptive fashion. The developed image segmentation method extracts the texture information using low-level image descriptors (such as the Local Binary Patterns (LBP)) and colour information by using colour space partitioning. The...

There is a significant need to extract and recognise the semantically-important text contained in images on Web pages. This paper proposes a new approach to text extraction from this special class of images. The method attempts to emulate closer than before the way humans perceive colour differences in order to differentiate between text and background regions. Pixels of similar colour (as huma...