Hyperspectral Imaging for Food Quality Analysis and Control

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  • Author : Da-Wen Sun
  • Publisher : Elsevier
  • Pages : 496 pages
  • ISBN : 9780080886282
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Hyperspectral Imaging for Food Quality Analysis and Control

Download or Read online Hyperspectral Imaging for Food Quality Analysis and Control full in PDF, ePub and kindle. this book written by Da-Wen Sun and published by Elsevier which was released on 29 June 2010 with total page 496 pages. We cannot guarantee that Hyperspectral Imaging for Food Quality Analysis and Control book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Hyperspectral Imaging for Food Quality Analysis and Control

Hyperspectral Imaging for Food Quality Analysis and Control
  • Author : Da-Wen Sun
  • Publisher : Elsevier
  • Release : 29 June 2010
GET THIS BOOK Hyperspectral Imaging for Food Quality Analysis and Control

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

Hyperspectral Imaging in Agriculture Food and Environment

Hyperspectral Imaging in Agriculture  Food and Environment
  • Author : Alejandro Isabel Luna Maldonado,Humberto Rodriguez-Fuentes,Juan Antonio Vidales Contreras
  • Publisher : BoD – Books on Demand
  • Release : 01 August 2018
GET THIS BOOK Hyperspectral Imaging in Agriculture Food and Environment

This book is about the novel aspects and future trends of the hyperspectral imaging in agriculture, food, and environment. The topics covered by this book are hyperspectral imaging and their applications in the nondestructive quality assessment of fruits and vegetables, hyperspectral imaging for assessing quality and safety of meat, multimode hyperspectral imaging for food quality and safety, models fitting to pattern recognition in hyperspectral images, sequential classification of hyperspectral images, graph construction for hyperspectral data unmixing, target visualization method to

Hyperspectral Imaging Technology in Food and Agriculture

Hyperspectral Imaging Technology in Food and Agriculture
  • Author : Bosoon Park,Renfu Lu
  • Publisher : Springer
  • Release : 29 September 2015
GET THIS BOOK Hyperspectral Imaging Technology in Food and Agriculture

Hyperspectral imaging or imaging spectroscopy is a novel technology for acquiring and analysing an image of a real scene by computers and other devices in order to obtain quantitative information for quality evaluation and process control. Image processing and analysis is the core technique in computer vision. With the continuous development in hardware and software for image processing and analysis, the application of hyperspectral imaging has been extended to the safety and quality evaluation of meat and produce. Especially in

Hyperspectral Imaging

Hyperspectral Imaging
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 29 September 2019
GET THIS BOOK Hyperspectral Imaging

Hyperspectral Imaging, Volume 32, presents a comprehensive exploration of the different analytical methodologies applied on hyperspectral imaging and a state-of-the-art analysis of applications in different scientific and industrial areas. This book presents, for the first time, a comprehensive collection of the main multivariate algorithms used for hyperspectral image analysis in different fields of application. The benefits, drawbacks and suitability of each are fully discussed, along with examples of their application. Users will find state-of-the art information on the machinery for hyperspectral

Hyperspectral Data Processing

Hyperspectral Data Processing
  • Author : Chein-I Chang
  • Publisher : John Wiley & Sons
  • Release : 01 February 2013
GET THIS BOOK Hyperspectral Data Processing

Hyperspectral Data Processing: Algorithm Design andAnalysis is a culmination of the research conducted in theRemote Sensing Signal and Image Processing Laboratory (RSSIPL) atthe University of Maryland, Baltimore County. Specifically, ittreats hyperspectral image processing and hyperspectral signalprocessing as separate subjects in two different categories. Mostmaterials covered in this book can be used in conjunction with theauthor’s first book, Hyperspectral Imaging: Techniques forSpectral Detection and Classification, without muchoverlap. Many results in this book are either new or have not beenexplored, presented,

Hyperspectral Imaging Analysis and Applications for Food Quality

Hyperspectral Imaging Analysis and Applications for Food Quality
  • Author : N.C. Basantia,Leo M.L. Nollet,Mohammed Kamruzzaman
  • Publisher : CRC Press
  • Release : 16 November 2018
GET THIS BOOK Hyperspectral Imaging Analysis and Applications for Food Quality

In processing food, hyperspectral imaging, combined with intelligent software, enables digital sorters (or optical sorters) to identify and remove defects and foreign material that are invisible to traditional camera and laser sorters. Hyperspectral Imaging Analysis and Applications for Food Quality explores the theoretical and practical issues associated with the development, analysis, and application of essential image processing algorithms in order to exploit hyperspectral imaging for food quality evaluations. It outlines strategies and essential image processing routines that are necessary for

Chemometrics in Food Chemistry

Chemometrics in Food Chemistry
  • Author : José Manuel Amigo,Idoia Martí,Aoife Gowen
  • Publisher : Elsevier Inc. Chapters
  • Release : 08 June 2013
GET THIS BOOK Chemometrics in Food Chemistry

Computer vision systems have become typical tools of increasing importance to control manufacturing processes and product quality in a non-destructive manner in food industrial processing. During the past several years, we have heard about how hyperspectral imaging, joined with chemometrics, could offer a set of possibilities that may help to increase the control of the final quality assessment in production lines. This chapter will not review the main applications of HSI and chemometrics for food quality assessment, since this has

Hyperspectral Imaging

Hyperspectral Imaging
  • Author : Chein-I Chang
  • Publisher : Springer Science & Business Media
  • Release : 31 July 2003
GET THIS BOOK Hyperspectral Imaging

Explores the application of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral) techniques for subpixel detection and mixed pixel classification. This text is the first of its kind on the topic anc can be considered a recipe book offering various techniques for hyperspectral data exploitation.

Hyperspectral Imaging

Hyperspectral Imaging
  • Author : Chein-I Chang
  • Publisher : Springer Science & Business Media
  • Release : 11 December 2013
GET THIS BOOK Hyperspectral Imaging

Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral) techniques for subpixel detection and mixed pixel classification. This text is the first of its kind on the topic and can be considered a recipe book offering various techniques for

The Future of Hyperspectral Imaging

The Future of Hyperspectral Imaging
  • Author : Stefano Selci
  • Publisher : MDPI
  • Release : 20 November 2019
GET THIS BOOK The Future of Hyperspectral Imaging

This book includes some very recent applications and the newest emerging trends of hyper-spectral imaging (HSI). HSI is a very recent and strange beast, a sort of a melting pot of previous techniques and scientific interests, merging and concentrating the efforts of physicists, chemists, botanists, biologists, and physicians, to mention just a few, as well as experts in data crunching and statistical elaboration. For almost a century, scientific observation, from looking to planets and stars down to our own cells

Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences

Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences
  • Author : Michael Vohland,András Jung
  • Publisher : MDPI
  • Release : 14 May 2021
GET THIS BOOK Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences

The aim of the Special Issue “Hyperspectral Imaging for Fine to Medium Scale Applications in Environmental Sciences” was to present a selection of innovative studies using hyperspectral imaging (HSI) in different thematic fields. This intention reflects the technical developments in the last three decades, which have brought the capacity of HSI to provide spectrally, spatially and temporally detailed data, favoured by e.g., hyperspectral snapshot technologies, miniaturized hyperspectral sensors and hyperspectral microscopy imaging. The present book comprises a suite of

Hyperspectral Imaging and Analysis for Sparse Reconstruction and Recognition

Hyperspectral Imaging and Analysis for Sparse Reconstruction and Recognition
  • Author : Zohaib Khan
  • Publisher : Unknown
  • Release : 21 June 2021
GET THIS BOOK Hyperspectral Imaging and Analysis for Sparse Reconstruction and Recognition

[Truncated abstract] Hyperspectral imaging, also known as imaging spectroscopy, captures a data cube of a scene in two spatial and one spectral dimension. Hyperspectral image analysis refers to the operations which lead to quantitative and qualitative characterization of a hyperspectral image. This thesis contributes to hyperspectral imaging and analysis methods at multiple levels. In a tunable filter based hyperspectral imaging system, the recovery of spectral reflectance is a challenging task due to limiting filter transmission, illumination bias and band misalignment.