Issues in Dentistry, Oral Health, Odontology, and Craniofacial Research: 2011 Edition

Issues in Dentistry, Oral Health, Odontology, and Craniofacial Research: 2011 Edition

Author:

Publisher: ScholarlyEditions

Published: 2012-01-09

Total Pages: 2700

ISBN-13: 1464963819

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Issues in Dentistry, Oral Health, Odontology, and Craniofacial Research: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Dentistry, Oral Health, Odontology, and Craniofacial Research. The editors have built Issues in Dentistry, Oral Health, Odontology, and Craniofacial Research: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Dentistry, Oral Health, Odontology, and Craniofacial Research in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Dentistry, Oral Health, Odontology, and Craniofacial Research: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.


Sensory Science Applications for Food Production

Sensory Science Applications for Food Production

Author: Mehra, Rahul

Publisher: IGI Global

Published: 2024-07-17

Total Pages: 403

ISBN-13:

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Despite the critical role of sensory science in ensuring food quality and safety, there needs to be more comprehensive educational resources that cover the breadth and depth of this field. Current literature often focuses on isolated aspects, leaving scholars and practitioners needing a unified reference for understanding the complex interplay of sensory organs, evaluation techniques, and technological advancements. This gap hinders the development of skilled sensory panelists and restricts innovation in food product development and quality control. Sensory Science Applications for Food Production bridges this gap by offering a comprehensive and cohesive overview of sensory science. Through its meticulously crafted chapters, the book thoroughly explores sensory organs, including Gustation, Olfaction, Vision, Sense of touch, and Auditory Perception. It elucidates the mechanisms behind sensory perception, examines abnormalities, and discusses factors influencing perception, all crucial for training proficient sensory panelists. The book also delves into advanced sensory evaluation techniques, including their application in developing innovative food products, addressing the need for up-to-date knowledge in the field.


Computational Color Imaging

Computational Color Imaging

Author: Shoji Tominaga

Publisher: Springer

Published: 2019-03-19

Total Pages: 350

ISBN-13: 3030139409

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This book constitutes the refereed proceedings of the 7th Computational Color Imaging Workshop, CCIW 2019, held in Chiba, Japan, in March 2019. The 22 full papers presented in this volume were carefully reviewed and selected from 34 submissions. The papers are organized in topical sections named: computational color imaging; multispectral imaging; perceptual model and application; color image evaluation; colot image filtering; color image applications; and color imaging for material appearance. In addition, the book contains 3 invited talks in full paper length.


Author:

Publisher: Bloomsbury Publishing USA

Published:

Total Pages:

ISBN-13: 1501370235

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Research Developments in Computer Vision and Image Processing: Methodologies and Applications

Research Developments in Computer Vision and Image Processing: Methodologies and Applications

Author: Srivastava, Rajeev

Publisher: IGI Global

Published: 2013-09-30

Total Pages: 451

ISBN-13: 1466645598

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Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. Research Developments in Computer Vision and Image Processing: Methodologies and Applications brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.


Advances in Low-Level Color Image Processing

Advances in Low-Level Color Image Processing

Author: M. Emre Celebi

Publisher: Springer Science & Business Media

Published: 2013-12-17

Total Pages: 433

ISBN-13: 9400775849

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Color perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including medical imaging, content-based image retrieval, biometrics, watermarking, digital inpainting, remote sensing, visual quality inspection, among many others. As a result, automated processing and analysis of color images has become an active area of research, to which the large number of publications of the past two decades bears witness. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for single channel images are often not directly applicable to multichannel ones. The goal of this volume is to summarize the state-of-the-art in the early stages of the color image processing pipeline.


Handbook of Visual Optics, Two-Volume Set

Handbook of Visual Optics, Two-Volume Set

Author: Pablo Artal

Publisher: CRC Press

Published: 2017-06-27

Total Pages: 856

ISBN-13: 1482282712

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Handbook of Visual Optics offers an authoritative overview of encyclopedic knowledge in the field of physiological optics. It builds from fundamental concepts to the science and technology of instruments and practical procedures of vision correction, integrating expert knowledge from physics, medicine, biology, psychology, and engineering. The chapters comprehensively cover all aspects of modern study and practice, from optical principles and optics of the eye and retina to novel ophthalmic tools for imaging and visual testing, devices and techniques for visual correction, and the relationship between ocular optics and visual perception.


Image Quality Assessment of Computer-generated Images

Image Quality Assessment of Computer-generated Images

Author: André Bigand

Publisher: Springer

Published: 2018-03-09

Total Pages: 96

ISBN-13: 3319735438

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Image Quality Assessment is well-known for measuring the perceived image degradation of natural scene images but is still an emerging topic for computer-generated images. This book addresses this problem and presents recent advances based on soft computing. It is aimed at students, practitioners and researchers in the field of image processing and related areas such as computer graphics and visualization. In this book, we first clarify the differences between natural scene images and computer-generated images, and address the problem of Image Quality Assessment (IQA) by focusing on the visual perception of noise. Rather than using known perceptual models, we first investigate the use of soft computing approaches, classically used in Artificial Intelligence, as full-reference and reduced-reference metrics. Thus, by creating Learning Machines, such as SVMs and RVMs, we can assess the perceptual quality of a computer-generated image. We also investigate the use of interval-valued fuzzy sets as a no-reference metric. These approaches are treated both theoretically and practically, for the complete process of IQA. The learning step is performed using a database built from experiments with human users and the resulting models can be used for any image computed with a stochastic rendering algorithm. This can be useful for detecting the visual convergence of the different parts of an image during the rendering process, and thus to optimize the computation. These models can also be extended to other applications that handle complex models, in the fields of signal processing and image processing.