The Experts below are selected from a list of 294 Experts worldwide ranked by ideXlab platform

Andrea Brandolini - One of the best experts on this subject based on the ideXlab platform.

  • wheat flour granulometry determines Colour Perception
    Food Research International, 2014
    Co-Authors: Alyssa Hidalgo, Lorenzo Fongaro, Andrea Brandolini
    Abstract:

    Einkorn, durum wheat and Kamut® are rich of carotenoids, antioxidants with beneficial effects on human health. In the present study the effect of flour granule size on carotenoid content and Colour was assessed; furthermore, the suitability of two colorimeters (Minolta Chroma meter CR-210 and Minolta Chroma meter II Reflectance), a spectrophotometer (Jasco V-650 with integrating sphere) and image analysis to define Colour and determine carotenoid concentration in wheat flours of different granulometry was tested. Carotenoid content did not vary across flours of diverse size, except in the finest einkorn fraction (<80μm), which had lower concentration. For all instruments Colour coordinate L* decreased and b* increased with flour size growth, while a* varied with the different devices. A Principal Components Analysis (PCA), performed considering carotenoid content and all colorimetric indices, distinguished einkorn from durum and Kamut®, and divided samples of different granulometry; a similar result was achieved by a PCA performed on the absorbance spectra from the integrating sphere. The PCA on image texture data classified the samples following flour size. In conclusion, flour Colour is determined not only by carotenoid content but also by flour particle size: therefore, direct Colour measurement seems not suitable to predict flour carotenoid content.

  • Wheat flour granulometry determines Colour Perception
    Food Research International, 2014
    Co-Authors: Alyssa Hidalgo, Lorenzo Fongaro, Andrea Brandolini
    Abstract:

    Einkorn, durum wheat and Kamut® are rich of carotenoids, antioxidants with beneficial effects on human health. In the present study the effect of flour granule size on carotenoid content and Colour was assessed; furthermore, the suitability of two colorimeters (Minolta Chroma meter CR-210 and Minolta Chroma meter II Reflectance), a spectrophotometer (Jasco V-650 with integrating sphere) and image analysis to define Colour and determine carotenoid concentration in wheat flours of different granulometry was tested. Carotenoid content did not vary across flours of diverse size, except in the finest einkorn fraction (

Alyssa Hidalgo - One of the best experts on this subject based on the ideXlab platform.

  • wheat flour granulometry determines Colour Perception
    Food Research International, 2014
    Co-Authors: Alyssa Hidalgo, Lorenzo Fongaro, Andrea Brandolini
    Abstract:

    Einkorn, durum wheat and Kamut® are rich of carotenoids, antioxidants with beneficial effects on human health. In the present study the effect of flour granule size on carotenoid content and Colour was assessed; furthermore, the suitability of two colorimeters (Minolta Chroma meter CR-210 and Minolta Chroma meter II Reflectance), a spectrophotometer (Jasco V-650 with integrating sphere) and image analysis to define Colour and determine carotenoid concentration in wheat flours of different granulometry was tested. Carotenoid content did not vary across flours of diverse size, except in the finest einkorn fraction (<80μm), which had lower concentration. For all instruments Colour coordinate L* decreased and b* increased with flour size growth, while a* varied with the different devices. A Principal Components Analysis (PCA), performed considering carotenoid content and all colorimetric indices, distinguished einkorn from durum and Kamut®, and divided samples of different granulometry; a similar result was achieved by a PCA performed on the absorbance spectra from the integrating sphere. The PCA on image texture data classified the samples following flour size. In conclusion, flour Colour is determined not only by carotenoid content but also by flour particle size: therefore, direct Colour measurement seems not suitable to predict flour carotenoid content.

  • Wheat flour granulometry determines Colour Perception
    Food Research International, 2014
    Co-Authors: Alyssa Hidalgo, Lorenzo Fongaro, Andrea Brandolini
    Abstract:

    Einkorn, durum wheat and Kamut® are rich of carotenoids, antioxidants with beneficial effects on human health. In the present study the effect of flour granule size on carotenoid content and Colour was assessed; furthermore, the suitability of two colorimeters (Minolta Chroma meter CR-210 and Minolta Chroma meter II Reflectance), a spectrophotometer (Jasco V-650 with integrating sphere) and image analysis to define Colour and determine carotenoid concentration in wheat flours of different granulometry was tested. Carotenoid content did not vary across flours of diverse size, except in the finest einkorn fraction (

Lorenzo Fongaro - One of the best experts on this subject based on the ideXlab platform.

  • wheat flour granulometry determines Colour Perception
    Food Research International, 2014
    Co-Authors: Alyssa Hidalgo, Lorenzo Fongaro, Andrea Brandolini
    Abstract:

    Einkorn, durum wheat and Kamut® are rich of carotenoids, antioxidants with beneficial effects on human health. In the present study the effect of flour granule size on carotenoid content and Colour was assessed; furthermore, the suitability of two colorimeters (Minolta Chroma meter CR-210 and Minolta Chroma meter II Reflectance), a spectrophotometer (Jasco V-650 with integrating sphere) and image analysis to define Colour and determine carotenoid concentration in wheat flours of different granulometry was tested. Carotenoid content did not vary across flours of diverse size, except in the finest einkorn fraction (<80μm), which had lower concentration. For all instruments Colour coordinate L* decreased and b* increased with flour size growth, while a* varied with the different devices. A Principal Components Analysis (PCA), performed considering carotenoid content and all colorimetric indices, distinguished einkorn from durum and Kamut®, and divided samples of different granulometry; a similar result was achieved by a PCA performed on the absorbance spectra from the integrating sphere. The PCA on image texture data classified the samples following flour size. In conclusion, flour Colour is determined not only by carotenoid content but also by flour particle size: therefore, direct Colour measurement seems not suitable to predict flour carotenoid content.

  • Wheat flour granulometry determines Colour Perception
    Food Research International, 2014
    Co-Authors: Alyssa Hidalgo, Lorenzo Fongaro, Andrea Brandolini
    Abstract:

    Einkorn, durum wheat and Kamut® are rich of carotenoids, antioxidants with beneficial effects on human health. In the present study the effect of flour granule size on carotenoid content and Colour was assessed; furthermore, the suitability of two colorimeters (Minolta Chroma meter CR-210 and Minolta Chroma meter II Reflectance), a spectrophotometer (Jasco V-650 with integrating sphere) and image analysis to define Colour and determine carotenoid concentration in wheat flours of different granulometry was tested. Carotenoid content did not vary across flours of diverse size, except in the finest einkorn fraction (

Rüdiger Wehner - One of the best experts on this subject based on the ideXlab platform.

  • Does reflection polarization by plants influence Colour Perception in insects? Polarimetric measurements applied to a polarization-sensitive model retina of Papilio butterflies.
    The Journal of experimental biology, 2002
    Co-Authors: Gábor Horváth, József Gál, Thomas Labhart, Rüdiger Wehner
    Abstract:

    Using imaging polarimetry, we have measured some typical reflection-polarization patterns of plant surfaces (leaves and flowers) under different illuminations. Using a quantitative model to determine photon absorptions in the weakly polarization-sensitive (PS approximately 2) photoreceptors of Papilio butterflies, we have calculated the influence of reflection polarization on the Colours of leaves and flowers perceived by PAPILIO: Compared with a retina containing polarization-blind Colour receptors, the Colour loci of specularly reflecting and, thus, strongly polarizing areas on a plant are slightly shifted, which could cause the Perception of false Colours. However, the Colour of specularly reflecting surfaces is strongly masked by white glare, which may prevent the Perception of polarization-induced hue shifts. Although the Perception of polarizational false Colours by Papilio butterflies was previously demonstrated with artificial, strongly Colour-saturated and totally linearly polarized stimuli, we expect that the weak polarization sensitivity of Papilio photoreceptors hardly influences Colour Perception under natural conditions.

Dimosthenis Karatzas - One of the best experts on this subject based on the ideXlab platform.

  • text extraction from web images based on a split and merge segmentation method using Colour Perception
    International Conference on Pattern Recognition, 2004
    Co-Authors: Dimosthenis Karatzas, Apostolos Antonacopoulos
    Abstract:

    This paper describes a complete approach to the segmentation and extraction of text from Web images for subsequent recognition, to ultimately achieve both effective indexing and presentation by non-visual means (e.g., audio). The method described here (the first in the authors' systematic approach to exploit human Colour Perception) enables the extraction of text in complex situations such as in the presence of varying Colour (characters and background). More precisely, in addition to using structural features, the segmentation follows a split-and-merge strategy based on the hue-lightness-saturation (HLS) representation of Colour as a first approximation of an anthropocentric expression of the differences in chromaticity and lightness. Character-like components are then extracted as forming textlines in a number of orientations and along curves.

  • ICPR (2) - Text extraction from Web images based on a split-and-merge segmentation method using Colour Perception
    2004
    Co-Authors: Dimosthenis Karatzas, Apostolos Antonacopoulos
    Abstract:

    This paper describes a complete approach to the segmentation and extraction of text from Web images for subsequent recognition, to ultimately achieve both effective indexing and presentation by non-visual means (e.g., audio). The method described here (the first in the authors' systematic approach to exploit human Colour Perception) enables the extraction of text in complex situations such as in the presence of varying Colour (characters and background). More precisely, in addition to using structural features, the segmentation follows a split-and-merge strategy based on the hue-lightness-saturation (HLS) representation of Colour as a first approximation of an anthropocentric expression of the differences in chromaticity and lightness. Character-like components are then extracted as forming textlines in a number of orientations and along curves.

  • Text Segmentation in Web Images Using Colour Perception and Topological Features
    2003
    Co-Authors: Dimosthenis Karatzas
    Abstract:

    The research presented in this thesis addresses the problem of Text Segmentation in Web images. Text is routinely created in image form (headers, banners etc.) on Web pages, as an attempt to overcome the stylistic limitations of HTML. This text however, has a potentially high semantic value in terms of indexing and searching for the corresponding Web pages. As current search engine technology does not allow for text extraction and recognition in images, the text in image form is ignored. Moreover, it is desirable to obtain a uniform representation of all visible text of a Web page (for applications such as voice browsing or automated content analysis). This thesis presents two methods for text segmentation in Web images using Colour Perception and topological features. The nature of Web images and the implicit problems to text segmentation are described, and a study is performed to assess the magnitude of the problem and establish the need for automated text segmentation methods. Two segmentation methods are subsequently presented: the Split-and-Merge segmentation method and the Fuzzy segmentation method. Although approached in a distinctly different way in each method, the safe assumption that a human being should be able to read the text in any given Web Image is the foundation of both methods’ reasoning. This anthropocentric character of the methods along with the use of topological features of connected components, comprise the underlying working principles of the methods. An approach for classifying the connected components resulting from the segmentation methods as either characters or parts of the background is also presented.