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Hyperspectral imaging for food quality analysis and control

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hyperspectral imaging for food quality analysis and control/ edited by Da-Wen Sun.{me_controlnum}
其他作者:	Sun, Da-Wen.
出版者:	London :Academic, : 2010.,
面頁冊數:	1 online resource.
內容註:	Principles of Hyperspectral Imaging Technology -- Spectral Pre-Processing Techniques -- Hypercube Classification Methods -- Hyperspectral Image Processing Techniques -- Hyperspectral Imaging Instruments -- Pork Quality Using a Hyperspectral Imaging System -- Automated Poultry Carcass Inspection by Hyperspectral-Multispectral Line-Scan Imaging System -- Quality Evaluation of Fish Fillets by Hyperspectral Imaging -- Bruise Detection of Apples Using Hyperspectral Imaging -- Analysis of Hyperspectral Images of Citrus Fruits -- Using NIR Hyperspectral Imaging for Bruise Detection of Strawberries -- Visualization of Sugar Distribution of Melons by Hyperspectral Technique -- Measuring Ripening of Tomatoes Using Imaging Spectrometry -- Hyperspectral Reflectance Imaging for Detection of Bruising on Pickling Cucumber -- Classification of Wheat Kernels Using Near-Infrared Reflectance Hyperspectral Imaging.
標題:	Food adulteration and inspection. -
電子資源:	http://www.sciencedirect.com/science/book/9780123747532
ISBN:	9780123747532

Hyperspectral imaging for food quality analysis and control
Hyperspectral imaging for food quality analysis and control[electronic resource] /edited by Da-Wen Sun.{me_controlnum} - London :Academic,2010. - 1 online resource.

Includes bibliographical references and index.

Principles of Hyperspectral Imaging Technology -- Spectral Pre-Processing Techniques -- Hypercube Classification Methods -- Hyperspectral Image Processing Techniques -- Hyperspectral Imaging Instruments -- Pork Quality Using a Hyperspectral Imaging System -- Automated Poultry Carcass Inspection by Hyperspectral-Multispectral Line-Scan Imaging System -- Quality Evaluation of Fish Fillets by Hyperspectral Imaging -- Bruise Detection of Apples Using Hyperspectral Imaging -- Analysis of Hyperspectral Images of Citrus Fruits -- Using NIR Hyperspectral Imaging for Bruise Detection of Strawberries -- Visualization of Sugar Distribution of Melons by Hyperspectral Technique -- Measuring Ripening of Tomatoes Using Imaging Spectrometry -- Hyperspectral Reflectance Imaging for Detection of Bruising on Pickling Cucumber -- Classification of Wheat Kernels Using Near-Infrared Reflectance Hyperspectral Imaging.

Based on the integration of computer vision and spectrscopy techniques, hyperspectral imaging is a novel technology for obtaining both spatial and spectral information on a product. Used for nearly 20 years in the aerospace and military industries, more recently hyperspectral imaging has emerged and matured into one of the most powerful and rapidly growing methods of non-destructive food quality analysis and control. Hyperspectral Imaging for Food Quality Analysis and Control provides the core information about how this proven science can be practically applied for food quality assessment, including information on the equipment available and selection of the most appropriate of those instruments. Additionally, real-world food-industry-based examples are included, giving the reader important insights into the actual application of the science in evaluating food products. *Presentation of principles and instruments provides core understanding of how this science performs, as well as guideline on selecting the most appropriate equipment for implementation *Includes real-world, practical application to demonstrate the viability and challenges of working with this technology *Provides necessary information for making correct determination on use of hyperspectral imaging.

ISBN: 9780123747532

Source: 166646:166848Elsevier Science & Technologyhttp://www.sciencedirect.com

Nat. Bib. Agency Control No.: 015540564UkSubjects--Topical Terms:

562207
Food adulteration and inspection.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TX531 / .H97 2010

Dewey Class. No.: 664.07

Hyperspectral imaging for food quality analysis and control
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504 $a Includes bibliographical references and index.
505 0 $a Principles of Hyperspectral Imaging Technology -- Spectral Pre-Processing Techniques -- Hypercube Classification Methods -- Hyperspectral Image Processing Techniques -- Hyperspectral Imaging Instruments -- Pork Quality Using a Hyperspectral Imaging System -- Automated Poultry Carcass Inspection by Hyperspectral-Multispectral Line-Scan Imaging System -- Quality Evaluation of Fish Fillets by Hyperspectral Imaging -- Bruise Detection of Apples Using Hyperspectral Imaging -- Analysis of Hyperspectral Images of Citrus Fruits -- Using NIR Hyperspectral Imaging for Bruise Detection of Strawberries -- Visualization of Sugar Distribution of Melons by Hyperspectral Technique -- Measuring Ripening of Tomatoes Using Imaging Spectrometry -- Hyperspectral Reflectance Imaging for Detection of Bruising on Pickling Cucumber -- Classification of Wheat Kernels Using Near-Infrared Reflectance Hyperspectral Imaging.
520 $a Based on the integration of computer vision and spectrscopy techniques, hyperspectral imaging is a novel technology for obtaining both spatial and spectral information on a product. Used for nearly 20 years in the aerospace and military industries, more recently hyperspectral imaging has emerged and matured into one of the most powerful and rapidly growing methods of non-destructive food quality analysis and control. Hyperspectral Imaging for Food Quality Analysis and Control provides the core information about how this proven science can be practically applied for food quality assessment, including information on the equipment available and selection of the most appropriate of those instruments. Additionally, real-world food-industry-based examples are included, giving the reader important insights into the actual application of the science in evaluating food products. *Presentation of principles and instruments provides core understanding of how this science performs, as well as guideline on selecting the most appropriate equipment for implementation *Includes real-world, practical application to demonstrate the viability and challenges of working with this technology *Provides necessary information for making correct determination on use of hyperspectral imaging.
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