Multispectral Image Processing And Pattern Recognition Techniques For Quality Inspection Of Apple Fruits
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Author | : Devrim Unay |
Publisher | : Presses univ. de Louvain |
Total Pages | : 148 |
Release | : 2006 |
Genre | : Computers |
ISBN | : 9782874630415 |
In this book we address the problem of quality inspection of agricultural produce, more specifically apple fruits, based on multispectral image analysis. Following a divide-and-conquer strategy, the problem is divided into the subtasks of stem and ca
Author | : Bernhard Burgeth |
Publisher | : Springer |
Total Pages | : 545 |
Release | : 2019-06-19 |
Genre | : Computers |
ISBN | : 3030208672 |
This book contains the refereed proceedings of the 14th International Symposium on Mathematical Morphology, ISMM 2019, held in Saarbrücken, Germany, in July 2019. The 40 revised full papers presented together with one invited talk were carefully reviewed and selected from 54 submissions. The papers are organized in topical sections on Theory, Discrete Topology and Tomography, Trees and Hierarchies, Multivariate Morphology, Computational Morphology, Machine Learning, Segmentation, Applications in Engineering, and Applications in (Bio)medical Imaging.
Author | : Chi-Sing Leung |
Publisher | : Springer |
Total Pages | : 916 |
Release | : 2009-12-15 |
Genre | : Computers |
ISBN | : 3642106846 |
th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1–5, 2009. ICONIP is a world-renowned international conference that is held annually in the Asia-Pacific region. This prestigious event is sponsored by the Asia Pacific Neural Network Assembly (APNNA), and it has provided an annual forum for international researchers to exchange the latest ideas and advances in neural networks and related discipline. The School of Information Technology (SIT) at King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand was the proud host of ICONIP 2009. The conference theme was “Challenges and Trends of Neural Information Processing,” with an aim to discuss the past, present, and future challenges and trends in the field of neural information processing. ICONIP 2009 accepted 145 regular session papers and 53 special session papers from a total of 466 submissions received on the Springer Online Conference Service (OCS) system. The authors of accepted papers alone covered 36 countries and - gions worldwide and there are over 500 authors in these proceedings. The technical sessions were divided into 23 topical categories, including 9 special sessions.
Author | : Kamila, Narendra Kumar |
Publisher | : IGI Global |
Total Pages | : 506 |
Release | : 2015-11-30 |
Genre | : Computers |
ISBN | : 1466686553 |
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Author | : Da-Wen Sun |
Publisher | : Academic Press |
Total Pages | : 660 |
Release | : 2016-04-07 |
Genre | : Technology & Engineering |
ISBN | : 0128025999 |
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
Author | : Manuela Zude |
Publisher | : CRC Press |
Total Pages | : 594 |
Release | : 2008-10-29 |
Genre | : Technology & Engineering |
ISBN | : 1420054031 |
In an age of heightened nutritional awareness, assuring healthy human nutrition and improving the economic success of food producers are top priorities for agricultural economies. In the context of these global changes, new innovative technologies are necessary for appropriate agro-food management from harvest and storage, to marketing and consumer
Author | : Alejandro Isabel Luna Maldonado |
Publisher | : BoD – Books on Demand |
Total Pages | : 186 |
Release | : 2018-08-01 |
Genre | : Technology & Engineering |
ISBN | : 1789232902 |
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 process hyperspectral image, and soil contamination mapping with hyperspectral imagery. This book is a general reference work for students, professional engineers, and readers with interest in the subject.
Author | : Bosoon Park |
Publisher | : Springer |
Total Pages | : 404 |
Release | : 2015-09-29 |
Genre | : Technology & Engineering |
ISBN | : 1493928368 |
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 recent years, hyperspectral imaging has attracted much research and development attention, as a result rapid scientific and technological advances have increasingly taken place in food and agriculture, especially on safety and quality inspection, classification and evaluation of a wide range of food products, illustrating the great advantages of using the technology for objective, rapid, non-destructive and automated safety inspection as well as quality control. Therefore, as the first reference book in the area, Hyperspectral Imaging Technology in Food and Agriculture focuses on these recent advances. The book is divided into three parts, which begins with an outline of the fundamentals of the technology, followed by full covering of the application in the most researched areas of meats, fruits, vegetables, grains and other foods, which mostly covers food safety and quality as well as remote sensing applicable for crop production. Hyperspectral Imaging Technology in Food and Agriculture is written by international peers who have both academic and professional credentials, with each chapter addressing in detail one aspect of the relevant technology, thus highlighting the truly international nature of the work. Therefore the book should provide the engineer and technologist working in research, development, and operations in the food and agricultural industry with critical, comprehensive and readily accessible information on the art and science of hyperspectral imaging technology. It should also serve as an essential reference source to undergraduate and postgraduate students and researchers in universities and research institutions.
Author | : Ignacio Arana |
Publisher | : CRC Press |
Total Pages | : 423 |
Release | : 2012-02-27 |
Genre | : Technology & Engineering |
ISBN | : 1439835365 |
With higher food quality in increasing demand by consumers, there is continuous pressure on food engineers to meet market needs. One of the critical challenges is to use modern technology and knowledge to develop new processes for improving food quality. Given the global food marketplace, there is also a greater need for a means of objectively classifying and differentiating foods. Physical properties, determined by measurable physical parameters, profoundly affect food quality and can be used for these determinations. Physical Properties of Foods: Novel Measurement Techniques and Applications presents a wide range of these practical, low-cost techniques to characterize physical properties without destroying the food. The book presents principles and measurement techniques, highlighting the latest methods and their ability to replace the traditional costly, time-consuming ones. It also covers the application of the measurements to classify and differentiate various foods, including fruits, vegetables, cereals, and dairy and meat products. The text gathers up-to-date procedures for determining the most important physical parameters that characterize food quality, many of which have not previously been sufficiently described in the literature, and delivers them in one useful volume. It includes methods based on a variety of technologies such as electronics, spectroscopy, mechanics, and acoustic response—which can be applied to a wide range of foods. With a focus on practical application of novel techniques, chapters specify method details, the type of food to which it has been applied, the accuracy, its ability to replace traditional techniques, as well as whether it can be installed on line. Written by internationally renowned engineers and scientists, this reference offers crucial information in an easily accessible format for engineers, researchers, and those in the food industry—all who will benefit from the cutting-edge practices described for measuring parameters that affect food quality and food characterization. The text is also an excellent resource for students and university researchers.
Author | : Andrey Ronzhin |
Publisher | : Springer Nature |
Total Pages | : 419 |
Release | : |
Genre | : |
ISBN | : 9819941652 |