Results 291 to 300 of about 608,944 (344)

Multiomics analysis of the Silkworm cocoon shell. [PDF]

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Fragkou P, Martakos I, Rouni G, Vasilakos D, Koutsoukos E, Saviane A, Cappellozza S, Thomaidis NS, Kostakis MG, Samiotaki M, Kotsiantis S, Barcenas M, Dedos SG.   +12 more
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Image calibration and analysis toolbox: a free software suite for objectively measuring reflectance, colour and pattern

M Stevens (8854466)
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Quantitative spore colour measurement using colour image analysis

Organic Geochemistry, 1998
Abstract The colour changes that spores exhibit, with increasing depth of burial, are used as a thermal maturity indicator for evaluating hydrocarbon source rocks. Spore colour is determined visually leading to an intrinsic difficulty of unequivocally assessing and recording their colour.
B Yule, S Roberts, J.E.A Marshall, J.A Milton   +3 more
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Colour image texture analysis: dependence on colour spaces

Object recognition supported by user interaction for service robots, 2003
In this paper we investigate the role of colour spaces on texture analysis. We extract a range of correlogram and colour moment features for the VisTex colour texture benchmark in different colour spaces and find the average probabilistic distance of separation across different objects for different features and suggest the colour spaces that are best ...
M. Singh, M. Markou, S. Singh
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Colour Mathematical Morphology For Neural Image Analysis

Real-Time Imaging, 2002
Summary: This paper presents an algorithm for automatic neural image analysis in immunostained vertebrate retinas. We present a useful tool for cell quantification avoiding the losst of information of traditional binary techniques in automatic recognition of images.
Ortiz Zamora, Francisco Gabriel, Torres Medina, Fernando, Juan Navarro, Emilio de, Cuenca Navarro, Nicolás   +3 more
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Colour television image analysis of carious lesions

Calcified Tissue Research, 1975
The new technique of colour television image analysis has been used to produce seven-colour contour maps of the radiodensity of micro-radiographs of enamel caries. This method permits the detailed measurement of the mineral content of enamel carious lesions to a sensitivity of +/-3% of the level of complete mineralisation.
J C, Rodda, K V, Mortimer, E D, Williams
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Colour Image Analysis

2001
Historically, machine vision has been applied to monochromatic objects, or those in which colour’ differences are visible as changes in intensity when they are viewed using a monochrome camera. Despite the obvious importance of colour in manufactured goods, machine vision systems capable of processing coloured images are less common.
Paul F. Whelan, Derek Molloy
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Image demosaicing using content and colour-correlation analysis

Signal Processing, 2014
Most digital cameras of today use a single CCD image sensor with alternating arrangement of red, blue and green colour filters in what is known as a Bayer pattern. To extract a full colour image, a demosaicing strategy has to be applied. In this paper we propose a content adaptive demosaicing strategy utilising structure analysis and correlation ...
Ling Shao, Amin Ur Rehman
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Objective colour analysis from digital images as a nuclear forensic tool

Forensic Science International, 2021
A digital colour image may be composed of hundreds of thousands of pixels, every pixel exhibiting a single colour. Each colour can be described as a combination of red, green and blue (RGB) components, of discrete values between 0-255. The RGB data contained within the pixels of an image could, therefore, be used to quantitatively establish the colour ...
Nathan B.A. Thompson, Sarah E. O’Sullivan, Robert J. Howell, Daniel J. Bailey, Matthew R. Gilbert, Neil C. Hyatt   +5 more
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Application of colour image analysis in coal petrology

Organic Geochemistry, 1993
Abstract The Olympus CUE-3 Colour Image Analysis System (CIAS) offers various processing and statistical functions for the analysis of two-dimensional images of a variety of materials, based on the colour characteristics and geometric properties of structural and textural elements.
David, P., Fermont, W.J.J.
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