Image Analysis: Applications in Materials Engineering

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ISBN: 9780849382260 | 0849382262
Cover: Hardcover
Copyright: 10/28/1998

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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.

Chapter one--Introduction

(6)

1.1 Digital images and their analysis versus the human vision system

(4)

1.2 General concept of the book

(2)

Chapter two--Main tools for image treatment

(48)

2.1 About this chapter

(1)

2.2 Basic image enhancement

(6)

2.3 Filters

(7)

2.4 Binarization

(8)

2.5 Mathematical morphology

(11)

2.6 Fourier transformation

(4)

2.7 Edge detection

(6)

2.8 Combining two images

(3)

2.9 Mouse etching

(2)

Chapter three--Image acquisition and its quality

(26)

3.1 Specimen preparation

(6)

3.2 Image acquisition

(6)

3.3 Shade correction

(6)

3.4 Removing artifacts

(4)

3.5 Basic tips

(4)

Chapter four--Detection of basic features

(72)

4.1 Grain boundaries

(39)

Example 1: Grains in a model alloy used for machinability tests

(2)

Example 2: Restoration of grain boundaries in the QE 22 alloy after high-temperature homogenization

(4)

Example 3: Grains in a polystyrene foam

(4)

Example 4: Grains of a clean, single-phase material

(5)

Example 5: Grains in a CeO(2) ceramic

101

(8)

Example 6: WC-Co cermet

109

(2)

Example 7: Grains in a high-speed steel

111

(4)

Example 8: A tricky solution to a nearly hopeless case

115

(5)

4.2 Other features detected like grains

120

(3)

4.3 Pores and isolated particles

123

(5)

4.4 Chains and colonies

128

(13)

4.5 Fibers

141

(12)

Chapter five--Treatment of complex structures

153

(26)

5.1 Textured and oriented structures

153

(10)

5.2 Very fine structures

163

(3)

5.3 Fracture surfaces

166

(13)

Chapter six--Analysis and interpretation

179

(34)

6.1 Image processing and image analysis

179

(2)

6.2 Measurements of single particles

181

(7)

6.3 First measurements--numbers

188

(5)

6.4 Shape

193

(8)

6.5 Grain size

201

(6)

6.6 Gray-scale measurements

207

(1)

6.7 Other measurements

208

(5)

Chapter seven--Applications and case histories

213

(14)

7.1 Quality and routine control

213

(3)

7.2 Simulation

216

(3)

7.3 Research and case histories

219

(6)

7.4 Concluding remarks

225

(2)

References

227

(8)

Subject index

235

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Image Analysis: Applications in Materials Engineering

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Table of Contents

Supplemental Materials