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image analysis
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Book: Powder Metallurgy
Series: ASM Handbook
Volume: 7
Publisher: ASM International
Published: 30 September 2015
DOI: 10.31399/asm.hb.v07.a0006102
EISBN: 978-1-62708-175-7
... Abstract Particle image analysis of metal powders can be easily performed with optical macroscopes and microscopes. This article provides examples of the particle image analysis on powders used in the powder metallurgy industry. metal powders optical macroscopes optical microscopes...
Series: ASM Handbook
Volume: 9
Publisher: ASM International
Published: 01 December 2004
DOI: 10.31399/asm.hb.v09.a0003758
EISBN: 978-1-62708-177-1
... Abstract This article reviews the essential parts of the complex process of quantitative image analysis to assist automatic image analysis in laboratories. It describes the basic difference between the bias of classical manual stereological analysis and quantitative image analysis. The article...
Abstract
This article reviews the essential parts of the complex process of quantitative image analysis to assist automatic image analysis in laboratories. It describes the basic difference between the bias of classical manual stereological analysis and quantitative image analysis. The article concentrates on the basic properties of digital measurements that are the core of quantitative image analysis. It provides a brief description of the specimen and apparatus preparation as well as the image acquisition. The article explains how to evaluate stereological parameters and provides the general rules and guidelines for optimization of image processing algorithms from the viewpoint of shape quantification. It concludes with examples that demonstrate the usefulness of automatic image analysis in comparison to manual methods.
Book: Thermal Spray Technology
Series: ASM Handbook
Volume: 5A
Publisher: ASM International
Published: 01 August 2013
DOI: 10.31399/asm.hb.v05a.a0005729
EISBN: 978-1-62708-171-9
... Abstract Metallographic examination is a critical step in the assessment of thermal spray coating characteristics. This article discusses the major steps involved in metallographic examination: sectioning, mounting, grinding, polishing, optical microscopy, and image analysis. It provides...
Abstract
Metallographic examination is a critical step in the assessment of thermal spray coating characteristics. This article discusses the major steps involved in metallographic examination: sectioning, mounting, grinding, polishing, optical microscopy, and image analysis. It provides a discussion on etching to reveal grain structure. The article also provides recommendations for metallographic examination of some standard coatings.
Series: ASM Handbook Archive
Volume: 10
Publisher: ASM International
Published: 01 January 1986
DOI: 10.31399/asm.hb.v10.a0001755
EISBN: 978-1-62708-178-8
... Abstract This article describes the various steps involved in image analysis, including sample selection and preparation, image preprocessing, measurement, and data analysis and output. It reviews various types of image analyzers and explains how operator bias and poor sample selection...
Abstract
This article describes the various steps involved in image analysis, including sample selection and preparation, image preprocessing, measurement, and data analysis and output. It reviews various types of image analyzers and explains how operator bias and poor sample selection and preparation practices can lead to measurement error. It also examines several applications, illustrating how microstructural measurements can be used to assess quality control and better understand how processing changes affect microstructure and, in turn, material properties and behavior.
Image
Published: 01 August 2013
Fig. 76 Illustration of the use of image analysis to determine line length per unit length of a coating (sometimes referred to as the “coastline” method)
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Image
Published: 01 August 2013
Image
Published: 01 August 2013
Fig. 1 Image analysis method of determining powder size and shape. (a) Original image. (b) Processed image, providing shapes that are less ambiguous and easier to measure
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Image
Published: 15 December 2019
Fig. 13 Image analysis of powder mix commonly used for manufacturing powdered metal components. (a) Optical macroscope. (b) Scanning electron microscope. EBS, ethylene bis stearamide
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Image
Published: 15 December 2019
Fig. 18 Image analysis measurements were performed with three objectives using three rows of 30 contiguous fields and a total of 12 sets per specimen (1080 fields/specimen). The area evaluated was 165.8, 42.69, and 6.63 mm 2 (0.26, 0.067, and 0.010 in. 2 ) for the 16, 32, and 80× objectives
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Image
Published: 01 December 2004
Image
Published: 01 December 2004
Fig. 49 The use of co-occurrence statistics in texture analysis. (a) HRTEM image of an amorphous resin. (b) HRTEM image of the same resin with diluted nanoparticles of carbon. (c) and (d) The histograms for uniformity and entropy for the two images. Courtesy Dr. Alain Thorel, ENSMP
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Image
Published: 01 December 2004
Fig. 19 Microstructure of austenitic steel and its analysis. (a) Initial image. (b) Binary image after border kill. (c) Binary image after correction based on guard frame. (d) Comparison of different sets of grains: dark gray, removed using border kill; light gray, additionally removed using
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Image
in Quantitative Characterization and Representation of Global Microstructural Geometry
> Metallography and Microstructures
Published: 01 December 2004
Fig. 1 Areal analysis. (a) Gray scale microstructural image of a metal-matrix composite depicting SiC particles in an aluminum alloy matrix. (b) Binary image of microstructure in (a) depicting excellent segmentation of the SiC particles as the dark phase. The area fraction of SiC particles
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Image
Published: 01 August 2018
Fig. 6 (a) Raw TSA images during test. (b) Thermoelastic stress analysis image generated by subtracting uncracked image from all subsequent images. Source: Ref 40
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Book: Surface Engineering
Series: ASM Handbook
Volume: 5
Publisher: ASM International
Published: 01 January 1994
DOI: 10.31399/asm.hb.v05.a0001237
EISBN: 978-1-62708-170-2
... Abstract Quantitative image analysis has expanded the capabilities of surface analysis significantly with the use of computer technology. This article provides an overview of the quantitative image analysis and optical microscopy. It describes the various steps involved in surface preparation...
Abstract
Quantitative image analysis has expanded the capabilities of surface analysis significantly with the use of computer technology. This article provides an overview of the quantitative image analysis and optical microscopy. It describes the various steps involved in surface preparation of samples prone to abrasion damage and artifacts for quantitative image analysis.
Series: ASM Handbook
Volume: 17
Publisher: ASM International
Published: 01 August 2018
DOI: 10.31399/asm.hb.v17.a0006439
EISBN: 978-1-62708-190-0
... Abstract Machine vision, also referred to as computer vision or intelligent vision, is a means of simulating the image recognition and analysis capabilities of the human eye and brain system with digital techniques. The machine vision functionality is extremely useful in inspection, supervision...
Abstract
Machine vision, also referred to as computer vision or intelligent vision, is a means of simulating the image recognition and analysis capabilities of the human eye and brain system with digital techniques. The machine vision functionality is extremely useful in inspection, supervision, and quality control applications. This article presents a variety of machine vision functions for different purposes and provides a comparison of machine and human vision capabilities in a table. It discusses the processes of a machine vision system: image acquisition, image preprocessing, image analysis, and image interpretation. The article provides information on the uses of machine vision systems in three categories of manufacturing applications: visual inspection, identification of parts, and guidance and control applications.
Book Chapter
Series: ASM Handbook
Volume: 9
Publisher: ASM International
Published: 01 December 2004
DOI: 10.31399/asm.hb.v09.a0003720
EISBN: 978-1-62708-177-1
..., and discontinuities that are present in a microstructure. It concludes with information on image analysis. brittle fracture deformation discontinuities ductile fracture fatigue fracture fractography image analysis light microscopy macroscopic analysis metallography microanalysis microstructure...
Abstract
This article provides an overview of the origin of metallography. It presents information on how to select a section from a specimen and prepare it for macroscopic analysis. The article describes the macroscopic analysis of steel fracture surfaces with emphasis on ductile, brittle, and fatigue fracture with illustrations. It discusses microanalysis with a focus on the method of light microscopy and includes information of scanning electron microscope in fractography. The article also explains the characteristics of solidification, transformation, deformation structures, and discontinuities that are present in a microstructure. It concludes with information on image analysis.
Book: Powder Metallurgy
Series: ASM Handbook
Volume: 7
Publisher: ASM International
Published: 30 September 2015
DOI: 10.31399/asm.hb.v07.a0006096
EISBN: 978-1-62708-175-7
... distributions. Common particle size measuring techniques discussed in this article include sieve analysis, quantitative image analysis, laser diffraction, sedimentation methods, aerodynamic time-of-flight method, electrical zone sensing, and photon correlation spectroscopy. The advantages and disadvantages...
Abstract
Particle size and size distribution have a significant effect on the behavior of metal powders during their processing. This article provides an overview of the sample preparation process for particle size measurement, which is a key step in the measurement of particle size distributions. Common particle size measuring techniques discussed in this article include sieve analysis, quantitative image analysis, laser diffraction, sedimentation methods, aerodynamic time-of-flight method, electrical zone sensing, and photon correlation spectroscopy. The advantages and disadvantages of these methods are reviewed.