نتایج جستجو برای: texture colour quality

تعداد نتایج: 818882  

2004
Padmapriya Nammalwar Ovidiu Ghita Paul F. Whelan

This paper proposes a framework for colour texture segmentation. The framework uses the colour and the texture distributions for discriminating the colour textured regions. The proposed colour texture segmentation method was tested in three different applications. The applications includes Irish Script on Screen (ISOS) images, skin cancer images and Sediment Profile Imagery (SPI). Image texture...

A Selcuk F Çagiltay, N Erkan Ö Özden Ş Ulusoy

This study describes the effects of different stocking densities on texture/colour characteristics, protein content /amino acid and lipid content/fatty acid composition of rainbow trout fillet. Stocking density was selected 5 (Group A), 15 (Group B), 25 (Group C) kg fish m−3. Tukey’s Multiple Comparison Test showed insignificant differences between measured size/weight measurement and condition f...

2008
Dana E. Ilea Paul F. Whelan Ovidiu Ghita

This thesis presents the development of a theoretical framework capable of encompassing the colour and texture information in a robust image descriptor that can be applied to the identification of coherent regions in complex natural images. In the suggested approach, the colour and texture features are extracted explicitly on two independent channels and the main emphasis of this work was place...

2002
Jiřı́ Grim Michal Haindl

A novel method of texture modelling based on discrete distribution mixtures is discussed. The statistical properties of textures are modelled by a discrete distribution mixture of product components. A natural colour texture is spectrally factorized and discrete mixtures models are learned and used to synthesize single orthogonal monospectral components. Texture synthesis is based on easy compu...

2007
Paul F. Whelan Ovidiu Ghita

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...

2006

Fat hardness/softness directly affects efficiency of processing and fat also contributes to the desirable eating attributes of meat. In terms of meat quality, fat quality attributes of colour, hardness and texture are important for certain markets. The quality of fat can markedly affect the carcase value at the wholesale level—particularly that for the Japanese market, which prefers soft white ...

2008
T. Hanusch

In the last decade, new developments in remote sensing, photogrammetry and laser scanning generated new possibilities for acquisition, processing and presentation of different objects at various scales. Beside object modelling, photorealistic texturing is still a challenging task. This paper focuses on a new texture mapping technique, which extends the known 2.5D approaches of texture mapping t...

2011
Padmapriya Nammalwar Ovidiu Ghita Paul F. Whelan

This thesis proposes a novel method to combine the colour and the texture for colour texture segmentation. The objective of this research work is to derive a framework for colour texture segmentation and to determine the contribution of colour in colour texture analysis. The colour texture processing is based on the feature extraction from colour-textured images. The texture features were obtai...

2000
Alexandru Drimbarean Paul F Whelan

In this paper we focus on classi cation of colour texture images The main objective is to determine the contribution of colour information to classi cation performance Three relevant approaches to greyscale texture analysis namely Local Linear Trans forms Gabor ltering and Co occurrence are extended to colour images They are evaluated in a quantitative manner by means of a comparative experimen...

Journal: :Pattern Recognition Letters 2001
Alexandru Drimbarean Paul F. Whelan

In this paper we focus on the classi®cation of colour texture images. The main objective is to determine the contribution of colour information to the overall classi®cation performance. Three relevant approaches to grey scale texture analysis, namely local linear transforms, Gabor ®ltering and the co-occurrence approach are extended to colour images. They are evaluated in a quantitative manner ...

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