Image Analysis: Applications in Materials Engineering
Features
Summary
Minimizing theoretical background and mathematical formalism, Image Analysis provides basic principles of image acquisition, enhancement, measurements, and interpretation in a very simple form, using an approach toward applications and properties of available tools. The singular study lists different tasks to do and offers complete solutions to these tasks, based on the author's experience with the procedures described.
Table of Contents
Introduction
Digital Images and Their Analysis versus the Human Vision System
General Concept of the Book
Main Tools for Image Treatment
About This Chapter
Basic Enhancement
Filters
Binarization
Mathematical Morphology
Fourier Transformation
Edge Detection
Combining Two Images
Mouse Etching
Image Acquisition and Its Quality
Specimen Preparation
Image Acquisition
Shade Correction
Removing Artifacts
Basic Tips
Detection of Basic Features
Grain Boundaries
Other Features Detected Like Grains
Pores and Isolated Particles
Chains and Colonies
Fibers
Treatment of Complex Structures
Textured and Oriented Structures
Very Fine Structures
Fracture Surfaces
Analysis and Interpretation
Image Processing and Image Analysis
Measurements of Single Particles
First Measurements - Numbers
Shape
Grains Size
Gray-Scale Measurements
Other Measurements
Applications
Quality Control
Simulations
Research and Case Histories
Concluding Remarks
References
