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By Bo Hu
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...
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...
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...
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) More
Image
Published: 01 August 2013
Fig. 77 Illustration of the use of image analysis to determine surface profilometry More
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 More
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 More
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 More
Image
Published: 01 December 2004
Fig. 1 The sequence of image acquisition, processing, analysis, and output More
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 More
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 More
Image
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 More
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 More
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...
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...
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...
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...