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Title: |
Advances in Image Analysis Research |
Search Result:
| Edited by: |
Roger M Echon |
| ISBN10-13: |
1629486027 : 9781629486024 |
| Format: |
Hardback |
| Size: |
260x180mm |
| Pages: |
327 |
| Weight: |
.890 Kg. |
| Published: |
Nova Science Publishers, Inc (US) - March 2014 |
| List Price: |
212.99 Pounds Sterling |
| Availability: |
Temporarily Out of Stock, more expected soon
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| Subjects: |
Materials science |
| 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 specialised 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 analysing 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. |
| Table of Contents: |
| Preface; The Art of Photography & Image Analysis; The Math behind Image Analysis; Computer Science & Image Analysis; Automated Image Analysis Using an Adaptive Neural Network; Extraction of Light Intensity Features for Classification of Liquids Using Smartphones; 3D Image Rendering with Structured Light Projections; Image Analysis Technique for Evaluating Damage Evolution & Predicting Mechanical Strength of Concrete Structures under Corrosion Conditions; Implementation of Image Analysis Research on Refractory Concrete Lifetime Prediction for Thermal Stability & Cavitation Erosion Testing; Image Analyses of Two-Dimensional Crystalline Arrays of Membrane Proteins & Protein Supramolecular Complexes; Novel Image Analysis Technique to Measure Enzymatic Activity & Stability on Paper Surfaces; Quantitative Evaluation of Facial Pigmentation, Wrinkles, & Pores Using Robo Skin Analyzer; Volume to Weight Conversion of Food Images; Image Analysis for Nutrition: Validity & Reliability; Cheese Microstructure Analysis at Different Stages of Cheese Production: A Review; Food Image Analysis: Quantitative Evaluation of School Nutrition Policy; Food Imaging Analysis: A Method of Evaluating the School Breakfast Program & its Association with Academic & other School-Related Indicators of Elementary School-Aged Children; Index. |
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