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

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 making the appropriate decision during detection, classification, identification, quantification, and/or prediction processes. Features Covers practical issues associated with the development, analysis, and application of essential image processing for food quality applications Surveys the breadth of different image processing approaches adopted over the years in attempting to implement hyperspectral imaging for food quality monitoring Explains the working principles of hyperspectral systems as well as the basic concept and structure of hyperspectral data Describes the different approaches used during image acquisition, data collection, and visualization The book is divided into three sections. Section I discusses the fundamentals of Imaging Systems: How can hyperspectral image cube acquisition be optimized? Also, two chapters deal with image segmentation, data extraction, and treatment. Seven chapters comprise Section II, which deals with Chemometrics. One explains the fundamentals of multivariate analysis and techniques while in six other chapters the reader will find information on and applications of a number of chemometric techniques: principal component analysis, partial least squares analysis, linear discriminant model, support vector machines, decision trees, and artificial neural networks. In the last section, Applications, numerous examples are given of applications of hyperspectral imaging systems in fish, meat, fruits, vegetables, medicinal herbs, dairy products, beverages, and food additives.

A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the development of hybrid intelligent techniques for faithful image analysis and understanding. As such, the focus is on the methods of computational intelligence, with an emphasis on hybrid intelligent methods applied to image analysis and understanding. The book offers a diverse range of hybrid intelligence techniques under the umbrellas of image thresholding, image segmentation, image analysis and video analysis. Key features: Provides in-depth analysis of hybrid intelligent paradigms. Divided into self-contained chapters. Provides ample case studies, illustrations and photographs of real-life examples to illustrate findings and applications of different hybrid intelligent paradigms. Offers new solutions to recent problems in computer science, specifically in the application of hybrid intelligent techniques for image analysis and understanding, using well-known contemporary algorithms. The book is essential reading for lecturers, researchers and graduate students in electrical engineering and computer science.

Meat is a global product, which is traded between regions, countries and continents. The onus is on producers, manufacturers, transporters and retailers to ensure that an ever-demanding consumer receives a top quality product that is free from contamination. With such a dynamic product and market place, new innovative ways to process, package and assess meat products are being developed. With ever increasing competition and tighter cost margins, industry has shown willingness to engage in seeking novel innovative ways of processing, packaging and assessing meat products while maintaining quality and safety attributes. This book provides a comprehensive overview on the application of novel processing techniques. It represents a standard reference book on novel processing, packaging and assessment methods of meat and meat products. It is part of the IFST Advances in Food Science book series.

Modern Techniques for Food Authentication, Second Edition presents a comprehensive review of the novel techniques available to authenticate food products, including various spectroscopic technologies, methods based on isotopic analysis and chromatography, and other techniques based on DNA, enzymatic analysis and electrophoresis. This new edition pinpoints research and development trends for those working in research, development and operations in the food industry, giving them readily accessible information on modern food authentication techniques to ensure a safe and authentic food supply. It will also serve as an essential reference source to undergraduate and postgraduate students, and for researchers in universities and research institutions. - Presents emerging imaging techniques that have proven to be powerful, non-destructive tools for food authentication - Includes applications of hyperspectral imaging to reflect the current trend of developments in food imaging technology for each topic area - Provides pixel level visualization techniques needed for fast and effective food sample testing - Contains two new chapters on Imaging Spectroscopic Techniques

Food Authenticity and Traceability covers the most recent trends and important topics in food authentication, with an emphasis on the components of a food traceability systems. The book discusses techniques such as omics-based technologies, chromatographic methods, mass spectrometry, hyperspectral and chemical imaging, molecular and DNA-based techniques, chemometrics and data mining algorithms, high-throughput sequencing, and non-targeted fingerprinting approaches and proteomics. - Includes information on blockchain for food traceability analysis - Discusses consumer preferences and perceptions regarding food traceability drivers and food fraud - Presents approaches of authentication for food of animal origin and omics-based technologies

Computer Vision Technology for Food Quality Evaluation, Second Edition continues to be a valuable resource to engineers, researchers, and technologists in research and development, as well as a complete reference to students interested in this rapidly expanding field. This new edition highlights the most recent developments in imaging processing and analysis techniques and methodology, captures cutting-edge developments in computer vision technology, and pinpoints future trends in research and development for food quality and safety evaluation and control. It is a unique reference that provides a deep understanding of the issues of data acquisition and image analysis and offers techniques to solve problems and further develop efficient methods for food quality assessment. - Thoroughly explains what computer vision technology is, what it can do, and how to apply it for food quality evaluation - Includes a wide variety of computer vision techniques and applications to evaluate a wide variety of foods - Describes the pros and cons of different techniques for quality evaluation

This book describes the various techniques for nondestructive quality assessment of fruits and vegetables. It covers the methods, measurements, operation principles, procedures, data analysis, and applications for implementing these techniques. The book presents the details of nondestructive approaches focusing on the present-day trends and existing future opportunities in the fresh food supply chain. First, it overviews different nondestructive techniques in food quality detection. Then it presents nondestructive methods: monochrome computer vision, imaging techniques, biospeckle laser technique, Fourier Transform Infrared (FTIR) Spectroscopy, hyperspectral imaging, Raman spectroscopy, near infrared (NIR) spectroscopy, X-ray computed tomography, ultrasound, acoustic emission, chemometrics, electronic nose and tongue. Selected applications of each method are also introduced. As a result, readers gain a better understanding of how to use nondestructive methods and technologies to detect the quality of fresh fruits and vegetables. With a wide range of interesting topics, the book will benefit readers including postharvest & food scientists/technologists, industry personnel and researchers involved in fresh produce quality detection. The book can also serve as a readily accessible reference material for postgraduate students.

Highlights the Emergence of Image Processing in Food and AgricultureIn addition to uses specifically related to health and other industries, biological imaging is now being used for a variety of applications in food and agriculture. Bio-Imaging: Principles, Techniques, and Applications fully details and outlines the processes of bio-imaging applica

In the book "Chemometrics in practical applications", various practical applications of chemometric methods in chemistry, biochemistry and chemical technology are presented, and selected chemometric methods are described in tutorial style. The book contains 14 independent chapters and is devoted to filling the gap between textbooks on multivariate data analysis and research journals on chemometrics and chemoinformatics.