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Da-wen Sun - One of the best experts on this subject based on the ideXlab platform.

  • Introduction to Hyperspectral Imaging Technology
    Computer Vision Technology for Food Quality Evaluation: Second Edition, 2016
    Co-Authors: Mohammed Kamruzzaman, Da-wen Sun
    Abstract:

    Traditional methods are still widely used in most food industries due to the unavailability of smart alternatives. Traditional destructive methods are not suitable in today's hypercompetitive marketplace. Consequently, a cost-effective, efficient, rapid, and reliable method is required. In particular, there is a great interest in developing nondestructive optical technologies that have the capability of monitoring in a real-time assessment. Among them, Hyperspectral Imaging techniques have received ample attention. Hyperspectral Imaging systems provide spatial and spectral details; therefore, these systems introduce new sensing facilities that enable improved inspection. Moreover, Hyperspectral Imaging can be used for online monitoring if properly optimized. This chapter first describes the fundamentals of Hyperspectral Imaging techniques, followed by an overview of multivariate data analysis, optimal wavelength selection, model evaluation, multivariate image analysis, and software for data/image analysis. Finally, the applications of Hyperspectral Imaging for evaluating quality, safety, and authenticity of muscle foods are illustrated.

  • Advanced applications of Hyperspectral Imaging technology for food quality and safety analysis and assessment: A review - Part I: Fundamentals
    Innovative Food Science and Emerging Technologies, 2013
    Co-Authors: Di Wu, Da-wen Sun
    Abstract:

    By integrating two classical optical sensing technologies of Imaging and spectroscopy into one system, Hyperspectral Imaging can provide both spatial and spectral information, simultaneously. Therefore, Hyperspectral Imaging has the capability to rapidly and non-invasively monitor both physical and morphological characteristics and intrinsic chemical and molecular information of a food product in the purpose of quality and safety analysis and assessment. As the first part of this review, some fundamental knowledge about Hyperspectral Imaging is reviewed, which includes the relationship between spectroscopy, Imaging, and Hyperspectral Imaging, principles of Hyperspectral Imaging, instruments for Hyperspectral Imaging, processing methods for data analysis, and discussion on advantages and disadvantages. Industrial relevance It is anticipated that real-time food monitoring systems with this technique can be expected to meet the requirements of the modern industrial control and sorting systems in the near future. © 2013 Elsevier Ltd.

  • Meat Quality Evaluation by Hyperspectral Imaging Technique: An Overview
    Critical Reviews in Food Science and Nutrition, 2012
    Co-Authors: Gamal Elmasry, Douglas Fernandes Barbin, Da-wen Sun, Paul Allen
    Abstract:

    During the last two decades, a number of methods have been developed to objectively measure meat quality attributes. Hyperspectral Imaging technique as one of these methods has been regarded as a smart and promising analytical tool for analyses conducted in research and industries. Recently there has been a renewed interest in using Hyperspectral Imaging in quality evaluation of different food products. The main inducement for developing the Hyperspectral Imaging system is to integrate both spectroscopy and Imaging techniques in one system to make direct identification of different components and their spatial distribution in the tested product. By combining spatial and spectral details together, Hyperspectral Imaging has proved to be a promising technology for objective meat quality evaluation. The literature presented in this paper clearly reveals that Hyperspectral Imaging approaches have a huge potential for gaining rapid information about the chemical structure and related physical properties of all types of meat. In addition to its ability for effectively quantifying and characterizing quality attributes of some important visual features of meat such as color, quality grade, marbling, maturity, and texture, it is able to measure multiple chemical constituents simultaneously without monotonous sample preparation. Although this technology has not yet been sufficiently exploited in meat process and quality assessment, its potential is promising. Developing a quality evaluation system based on Hyperspectral Imaging technology to assess the meat quality parameters and to ensure its authentication would bring economical benefits to the meat industry by increasing consumer confidence in the quality of the meat products. This paper provides a detailed overview of the recently developed approaches and latest research efforts exerted in Hyperspectral Imaging technology developed for evaluating the quality of different meat products and the possibility of its widespread deployment.

  • Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review
    Critical Reviews in Food Science and Nutrition, 2012
    Co-Authors: Yao Ze Feng, Da-wen Sun
    Abstract:

    Food safety is a great public concern, and outbreaks of food-borne illnesses can lead to disturbance to the society. Consequently, fast and nondestructive methods are required for sensing the safety situation of produce. As an emerging technology, Hyperspectral Imaging has been successfully employed in food safety inspection and control. After presenting the fundamentals of Hyperspectral Imaging, this paper provides a comprehensive review on its application in determination of physical, chemical, and biological contamination on food products. Additionally, other studies, including detecting meat and meat bone in feedstuffs as well as organic residue on food processing equipment, are also reported due to their close relationship with food safety control. With these applications, it can be demonstrated that miscellaneous Hyperspectral Imaging techniques including near-infrared Hyperspectral Imaging, fluorescence Hyperspectral Imaging, and Raman Hyperspectral Imaging or their combinations are powerful tools for food safety surveillance. Moreover, it is envisaged that Hyperspectral Imaging can be considered as an alternative technique for conventional methods in realizing inspection automation, leading to the elimination of the occurrence of food safety problems at the utmost.

  • Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review
    Critical Reviews in Food Science and Nutrition, 2012
    Co-Authors: Gamal Elmasry, Mohammed Kamruzzaman, Da-wen Sun, Paul Allen
    Abstract:

    The requirements of reliability, expeditiousness, accuracy, consistency, and simplicity for quality assessment of food products encouraged the development of non-destructive technologies to meet the demands of consumers to obtain superior food qualities. Hyperspectral Imaging is one of the most promising techniques currently investigated for quality evaluation purposes in numerous sorts of applications. The main advantage of the Hyperspectral Imaging system is its aptitude to incorporate both spectroscopy and Imaging techniques not only to make a direct assessment of different components simultaneously but also to locate the spatial distribution of such components in the tested products. Associated with multivariate analysis protocols, Hyperspectral Imaging shows a convinced attitude to be dominated in food authentication and analysis in future. The marvellous potential of the Hyperspectral Imaging technique as a non-destructive tool has driven the development of more sophisticated Hyperspectral Imaging systems in food applications. The aim of this review is to give detailed outlines about the theory and principles of Hyperspectral Imaging and to focus primarily on its applications in the field of quality evaluation of agro-food products as well as its future applicability in modern food industries and research.

Paul Allen - One of the best experts on this subject based on the ideXlab platform.

  • principles and applications of Hyperspectral Imaging in quality evaluation of agro food products a review
    Critical Reviews in Food Science and Nutrition, 2012
    Co-Authors: Gamal Elmasry, Mohammed Kamruzzaman, Paul Allen
    Abstract:

    The requirements of reliability, expeditiousness, accuracy, consistency, and simplicity for quality assessment of food products encouraged the development of non-destructive technologies to meet the demands of consumers to obtain superior food qualities. Hyperspectral Imaging is one of the most promising techniques currently investigated for quality evaluation purposes in numerous sorts of applications. The main advantage of the Hyperspectral Imaging system is its aptitude to incorporate both spectroscopy and Imaging techniques not only to make a direct assessment of different components simultaneously but also to locate the spatial distribution of such components in the tested products. Associated with multivariate analysis protocols, Hyperspectral Imaging shows a convinced attitude to be dominated in food authentication and analysis in future. The marvellous potential of the Hyperspectral Imaging technique as a non-destructive tool has driven the development of more sophisticated Hyperspectral Imaging s...

  • Meat Quality Evaluation by Hyperspectral Imaging Technique: An Overview
    Critical Reviews in Food Science and Nutrition, 2012
    Co-Authors: Gamal Elmasry, Douglas Fernandes Barbin, Da-wen Sun, Paul Allen
    Abstract:

    During the last two decades, a number of methods have been developed to objectively measure meat quality attributes. Hyperspectral Imaging technique as one of these methods has been regarded as a smart and promising analytical tool for analyses conducted in research and industries. Recently there has been a renewed interest in using Hyperspectral Imaging in quality evaluation of different food products. The main inducement for developing the Hyperspectral Imaging system is to integrate both spectroscopy and Imaging techniques in one system to make direct identification of different components and their spatial distribution in the tested product. By combining spatial and spectral details together, Hyperspectral Imaging has proved to be a promising technology for objective meat quality evaluation. The literature presented in this paper clearly reveals that Hyperspectral Imaging approaches have a huge potential for gaining rapid information about the chemical structure and related physical properties of all types of meat. In addition to its ability for effectively quantifying and characterizing quality attributes of some important visual features of meat such as color, quality grade, marbling, maturity, and texture, it is able to measure multiple chemical constituents simultaneously without monotonous sample preparation. Although this technology has not yet been sufficiently exploited in meat process and quality assessment, its potential is promising. Developing a quality evaluation system based on Hyperspectral Imaging technology to assess the meat quality parameters and to ensure its authentication would bring economical benefits to the meat industry by increasing consumer confidence in the quality of the meat products. This paper provides a detailed overview of the recently developed approaches and latest research efforts exerted in Hyperspectral Imaging technology developed for evaluating the quality of different meat products and the possibility of its widespread deployment.

  • Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review
    Critical Reviews in Food Science and Nutrition, 2012
    Co-Authors: Gamal Elmasry, Mohammed Kamruzzaman, Da-wen Sun, Paul Allen
    Abstract:

    The requirements of reliability, expeditiousness, accuracy, consistency, and simplicity for quality assessment of food products encouraged the development of non-destructive technologies to meet the demands of consumers to obtain superior food qualities. Hyperspectral Imaging is one of the most promising techniques currently investigated for quality evaluation purposes in numerous sorts of applications. The main advantage of the Hyperspectral Imaging system is its aptitude to incorporate both spectroscopy and Imaging techniques not only to make a direct assessment of different components simultaneously but also to locate the spatial distribution of such components in the tested products. Associated with multivariate analysis protocols, Hyperspectral Imaging shows a convinced attitude to be dominated in food authentication and analysis in future. The marvellous potential of the Hyperspectral Imaging technique as a non-destructive tool has driven the development of more sophisticated Hyperspectral Imaging systems in food applications. The aim of this review is to give detailed outlines about the theory and principles of Hyperspectral Imaging and to focus primarily on its applications in the field of quality evaluation of agro-food products as well as its future applicability in modern food industries and research.

Gamal Elmasry - One of the best experts on this subject based on the ideXlab platform.

  • Principles of Hyperspectral Imaging Technology
    Hyperspectral Imaging for Food Quality Analysis and Control, 2020
    Co-Authors: Gamal Elmasry
    Abstract:

    Publisher Summary This chapter presents the fundamentals, characteristics, configuration, terminologies, merits and demerits, limits, and potentials of Hyperspectral Imaging. It presents the basics and theoretical aspects relating to this technique, the information that can be supplied, and the main features of the instrumentation. It provides an overview of the main steps involved in analyzing Hyperspectral images. It explains in detail the potential applications of Hyperspectral Imaging in food analysis. Hyperspectral Imaging is a complex, highly multidisciplinary field that can be defined as the simultaneous acquisition of spatial images in many spectrally contiguous bands. Each pixel in the Hyperspectral image contains a complete spectrum. Therefore, Hyperspectral Imaging is a very powerful technique for characterizing and analyzing biological and food samples. The strong driving force behind the development of Hyperspectral Imaging systems in food quality evaluation is the integration of spectroscopic and Imaging techniques for discovering hidden information nondestructively for direct identification of different components and their spatial distribution in food samples. As a result, Hyperspectral Imaging represents a major technological advance in the capturing of morphological and chemical information from food and food products.

  • principles and applications of Hyperspectral Imaging in quality evaluation of agro food products a review
    Critical Reviews in Food Science and Nutrition, 2012
    Co-Authors: Gamal Elmasry, Mohammed Kamruzzaman, Paul Allen
    Abstract:

    The requirements of reliability, expeditiousness, accuracy, consistency, and simplicity for quality assessment of food products encouraged the development of non-destructive technologies to meet the demands of consumers to obtain superior food qualities. Hyperspectral Imaging is one of the most promising techniques currently investigated for quality evaluation purposes in numerous sorts of applications. The main advantage of the Hyperspectral Imaging system is its aptitude to incorporate both spectroscopy and Imaging techniques not only to make a direct assessment of different components simultaneously but also to locate the spatial distribution of such components in the tested products. Associated with multivariate analysis protocols, Hyperspectral Imaging shows a convinced attitude to be dominated in food authentication and analysis in future. The marvellous potential of the Hyperspectral Imaging technique as a non-destructive tool has driven the development of more sophisticated Hyperspectral Imaging s...

  • Meat Quality Evaluation by Hyperspectral Imaging Technique: An Overview
    Critical Reviews in Food Science and Nutrition, 2012
    Co-Authors: Gamal Elmasry, Douglas Fernandes Barbin, Da-wen Sun, Paul Allen
    Abstract:

    During the last two decades, a number of methods have been developed to objectively measure meat quality attributes. Hyperspectral Imaging technique as one of these methods has been regarded as a smart and promising analytical tool for analyses conducted in research and industries. Recently there has been a renewed interest in using Hyperspectral Imaging in quality evaluation of different food products. The main inducement for developing the Hyperspectral Imaging system is to integrate both spectroscopy and Imaging techniques in one system to make direct identification of different components and their spatial distribution in the tested product. By combining spatial and spectral details together, Hyperspectral Imaging has proved to be a promising technology for objective meat quality evaluation. The literature presented in this paper clearly reveals that Hyperspectral Imaging approaches have a huge potential for gaining rapid information about the chemical structure and related physical properties of all types of meat. In addition to its ability for effectively quantifying and characterizing quality attributes of some important visual features of meat such as color, quality grade, marbling, maturity, and texture, it is able to measure multiple chemical constituents simultaneously without monotonous sample preparation. Although this technology has not yet been sufficiently exploited in meat process and quality assessment, its potential is promising. Developing a quality evaluation system based on Hyperspectral Imaging technology to assess the meat quality parameters and to ensure its authentication would bring economical benefits to the meat industry by increasing consumer confidence in the quality of the meat products. This paper provides a detailed overview of the recently developed approaches and latest research efforts exerted in Hyperspectral Imaging technology developed for evaluating the quality of different meat products and the possibility of its widespread deployment.

  • Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review
    Critical Reviews in Food Science and Nutrition, 2012
    Co-Authors: Gamal Elmasry, Mohammed Kamruzzaman, Da-wen Sun, Paul Allen
    Abstract:

    The requirements of reliability, expeditiousness, accuracy, consistency, and simplicity for quality assessment of food products encouraged the development of non-destructive technologies to meet the demands of consumers to obtain superior food qualities. Hyperspectral Imaging is one of the most promising techniques currently investigated for quality evaluation purposes in numerous sorts of applications. The main advantage of the Hyperspectral Imaging system is its aptitude to incorporate both spectroscopy and Imaging techniques not only to make a direct assessment of different components simultaneously but also to locate the spatial distribution of such components in the tested products. Associated with multivariate analysis protocols, Hyperspectral Imaging shows a convinced attitude to be dominated in food authentication and analysis in future. The marvellous potential of the Hyperspectral Imaging technique as a non-destructive tool has driven the development of more sophisticated Hyperspectral Imaging systems in food applications. The aim of this review is to give detailed outlines about the theory and principles of Hyperspectral Imaging and to focus primarily on its applications in the field of quality evaluation of agro-food products as well as its future applicability in modern food industries and research.

  • Principles of Hyperspectral Imaging Technology
    Hyperspectral Imaging for Food Quality Analysis and Control, 2010
    Co-Authors: Gamal Elmasry, Da-wen Sun
    Abstract:

    This chapter presents the fundamentals, characteristics, configuration, terminologies, merits and demerits, limits, and potentials of Hyperspectral Imaging. It presents the basics and theoretical aspects relating to this technique, the information that can be supplied, and the main features of the instrumentation. It provides an overview of the main steps involved in analyzing Hyperspectral images. It explains in detail the potential applications of Hyperspectral Imaging in food analysis. Hyperspectral Imaging is a complex, highly multidisciplinary field that can be defined as the simultaneous acquisition of spatial images in many spectrally contiguous bands. Each pixel in the Hyperspectral image contains a complete spectrum. Therefore, Hyperspectral Imaging is a very powerful technique for characterizing and analyzing biological and food samples. The strong driving force behind the development of Hyperspectral Imaging systems in food quality evaluation is the integration of spectroscopic and Imaging techniques for discovering hidden information nondestructively for direct identification of different components and their spatial distribution in food samples. As a result, Hyperspectral Imaging represents a major technological advance in the capturing of morphological and chemical information from food and food products. © 2010 Elsevier Inc. All rights reserved.

Yao Ze Feng - One of the best experts on this subject based on the ideXlab platform.

  • application of Hyperspectral Imaging in food safety inspection and control a review
    Critical Reviews in Food Science and Nutrition, 2012
    Co-Authors: Yao Ze Feng
    Abstract:

    Food safety is a great public concern, and outbreaks of food-borne illnesses can lead to disturbance to the society. Consequently, fast and nondestructive methods are required for sensing the safety situation of produce. As an emerging technology, Hyperspectral Imaging has been successfully employed in food safety inspection and control. After presenting the fundamentals of Hyperspectral Imaging, this paper provides a comprehensive review on its application in determination of physical, chemical, and biological contamination on food products. Additionally, other studies, including detecting meat and meat bone in feedstuffs as well as organic residue on food processing equipment, are also reported due to their close relationship with food safety control. With these applications, it can be demonstrated that miscellaneous Hyperspectral Imaging techniques including near-infrared Hyperspectral Imaging, fluorescence Hyperspectral Imaging, and Raman Hyperspectral Imaging or their combinations are powerful tools ...

  • Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review
    Critical Reviews in Food Science and Nutrition, 2012
    Co-Authors: Yao Ze Feng, Da-wen Sun
    Abstract:

    Food safety is a great public concern, and outbreaks of food-borne illnesses can lead to disturbance to the society. Consequently, fast and nondestructive methods are required for sensing the safety situation of produce. As an emerging technology, Hyperspectral Imaging has been successfully employed in food safety inspection and control. After presenting the fundamentals of Hyperspectral Imaging, this paper provides a comprehensive review on its application in determination of physical, chemical, and biological contamination on food products. Additionally, other studies, including detecting meat and meat bone in feedstuffs as well as organic residue on food processing equipment, are also reported due to their close relationship with food safety control. With these applications, it can be demonstrated that miscellaneous Hyperspectral Imaging techniques including near-infrared Hyperspectral Imaging, fluorescence Hyperspectral Imaging, and Raman Hyperspectral Imaging or their combinations are powerful tools for food safety surveillance. Moreover, it is envisaged that Hyperspectral Imaging can be considered as an alternative technique for conventional methods in realizing inspection automation, leading to the elimination of the occurrence of food safety problems at the utmost.

Christian Pedersen - One of the best experts on this subject based on the ideXlab platform.

  • Upconversion based MIR Hyperspectral Imaging
    2017 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO Europe-EQEC), 2017
    Co-Authors: Saher Junaid, Peter Tidemand-lichtenberg, Christian Pedersen
    Abstract:

    Summary form only given. Midinfrared (MIR) Hyperspectral Imaging has a great potential to be used as a tool for medical diagnostics featuring a combination of Imaging and spectroscopy. In Hyperspectral Imaging, the images of the (biomedical) samples contains both spectral and spatial information. In this work, Hyperspectral Imaging in 5 to 9μm spectral regime is presented based on nonlinear frequency upconversion technology. The goal of this work is to create a series of monochromatic images such that a full spectrum is measured for every pixel element within the field of view.

  • Upconversion based MIR Hyperspectral Imaging
    2017 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO Europe-EQEC), 2017
    Co-Authors: Saher Junaid, Peter Tidemand-lichtenberg, Christian Pedersen
    Abstract:

    Midinfrared (MIR) Hyperspectral Imaging has a great potential to be used as a tool for medical diagnostics featuring a combination of Imaging and spectroscopy. In Hyperspectral Imaging, the images of the (biomedical) samples contains both spectral and spatial information.

  • Infrared upconversion Hyperspectral Imaging
    Optics Letters, 2015
    Co-Authors: Louis Martinus Kehlet, Peter Tidemand-lichtenberg, Jeppe Seidelin Dam, Christian Pedersen
    Abstract:

    Received November 6, 2014; revised January 23, 2015; accepted January 24, 2015; posted January 28, 2015 (Doc. ID 226394); published March 5, 2015 In this Letter, Hyperspectral Imaging in the mid-IR spectral region is demonstrated based on nonlinear frequency upconversion and subsequent Imaging using a standard Si-based CCD camera. A series of upconverted images are acquired with different phase match conditions for the nonlinear frequency conversion process. From this, a se- quence of monochromatic images in the 3.2–3.4 μm range is generated. The imaged object consists of a standard United States Air Force resolution target combined with a polystyrene film, resulting in the presence of both spatial and spectral information in the infrared image.