Advances in Image Analysis Research

Roger M. Echon, PhD (Editor)
Integrated Neurohealth Research Center, San Antonio, Texas, USA

Series: Computer Science, Technology and Applications
BISAC: TEC021000

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Volume 10

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Volume 2

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Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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The primary goal of this book is to provide students and practitioners in the field of image analysis with cohesive information and innovative (novel) techniques compiled from independent peer-reviewed studies across the globe. Image analysis is a multi-disciplinary subject that covers expansive subjects on photography, optics, physics, mathematics, software engineering, electronics, computer science, and information technology. The integration of these multi-disciplinary studies became the foundations of specialized and emerging fields, such as medical imaging, machine vision, image processing, and computer graphics.

The term image analysis deals with the process of extracting features from digital images and analyzing these extracted features into measurable parameters. Therefore, image analysis is composed of three integrated parts: a device that transform electromagnetic energy into an image (i.e. photography); a method of extracting features from an image (image processing); and an analytical method that measures extracted parameters (mathematics).

Although a number of books and publications are available in the study of image analysis, no true integration is available that provides a singular reference to tie in the foundation of each subject into a unified format. The overarching aim of this book is to fill these gaps and describe each contributing discipline into the science of image analysis. Consequently, this book is presented into three unified sections. (Imprint: Nova)

Preface

Part I: Image Analysis Timeline and Foundation

Chapter 1. The Art of Photography and Image Analysis
(Roger M. Echon, Integrated Neurohealth Research Center, San Antonio, Texas, USA)

Chapter 2. The Math behind Image Analysis
(Roger M. Echon, Integrated Neurohealth Research Center, San Antonio, Texas, USA)

Chapter 3. Computer Science and Image Analysis
(Roger M. Echon, Integrated Neurohealth Research Center, San Antonio, Texas, USA)

Part II: Advanced Methodologies in Digital Image Analysis

Chapter 4. Automated Image Analysis Using an Adaptive Neural Network
(Roger M. Echon, Integrated Neurohealth Research Center, San Antonio, Texas, USA)

Chapter 5. Extraction of Light Intensity Features for Classification of Liquids Using Smartphones
(Roger M. Echon, Integrated Neurohealth Research Center, San Antonio, Texas, USA)

Chapter 6. 3D Image Rendering with Structured Light Projections
(Roger M. Echon, Integrated Neurohealth Research Center, San Antonio, Texas, USA)

Part III: Advanced Applications of Image Analysis

Research in Structural Engineering and Manufacturing

Chapter 7. Image Analysis Technique for Evaluating Damage Evolution and Predicting Mechanical Strength of Concrete Structures under Corrosion Conditions
(Milica M. Vlahovic, Sanja P. Martinovic, Predrag B. Jovanic,
Tamara Ð. Boljanac and Tatjana D. Volkov Husovic, Institute for Technology of Nuclear and Other Mineral Raw Materials, Belgrade, Serbia, and others)

Chapter 8. Implementation of Image Analysis Research on Refractory Concrete Lifetime Prediction for Thermal Stability and Cavitation Erosion Testing
(S. Martinovic, M. Vlahovic, T. Boljanac, B. Matovic,
and T. Volkov-Husovic, Institute for Technology of Nuclear and other Mineral Raw Materials, Franchetd’Esperey, Belgrade, Serbia, and others)

Medical Imaging and Biomedical Research

Chapter 9. Image Analyses of Two-Dimensional Crystalline Arrays of Membrane Proteins and Protein Supramolecular Complexes
(Noriyuki Ishii, Biomedical Research Institute, National Institute of
Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan, and others)

Chapter 10. Novel Image Analysis Technique to Measure Enzymatic Activity and Stability on Paper Surfaces
(Mohidus Samad Khan and Gil Garnier, Department of Chemistry, McGill University, Montreal, Canada, and others)

Chapter 11. Quantitative Evaluation of Facial Pigmentation, Wrinkles, and Pores Using Robo Skin Analyzer
(Natsuko Kakudo, Naoki Morimoto, Satoshi Kushida, Yuko Iguchi and Kenji Kusumoto, Department of Plastic and Reconstructive Surgery,
Kansai Medical University, Japan)

Research in Nutrition and Food Science

Chapter 12. Volume to Weight Conversion of Food Images
(Roger M. Echon, Integrated Neurohealth Research Center, San Antonio, Texas, USA)

Chapter 13. Image Analysis for Nutrition: Validity and Reliability
(Roger M. Echon, Integrated Neurohealth Research Center, San Antonio, Texas, USA)

Chapter 14. Cheese Microstructure Analysis at Different Stages of Cheese Production: A Review
(S. Rovira, V. García and M.B. López, Department of Food Science and Technology, Veterinary Faculty, University of Murcia, Campus de Espinardo, Murcia, Spain)

Research in Social Sciences and Policy Evaluation

Chapter 15. Food Image Analysis: Quantitative Evaluation of School Nutrition Policy
(Roger M. Echon, T.S. Brice, N.M. Wells and B. Gaolach, Integrated Neurohealth Research Center, San Antonio, Texas, USA, and others)

Chapter 16. Food Imaging Analysis: A Method of Evaluating the School Breakfast Program and its Association with Academic and other School-Related Indicators of Elementary School-Aged Children
(Tanya Smith Brice, Benedict College, Columbia, South Carolina, USA)

Index

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