Comparison between different image acquisition methods for grain-size analysis and quantification of ceramic inclusions by digital image processing: how much similar are the results?

2020 ◽  
Vol 12 (8) ◽  
Author(s):  
Lara Maritan ◽  
Rebecca Piovesan ◽  
Gregorio Dal Sasso ◽  
Siwar Baklouti ◽  
Lluís Casas ◽  
...  
2012 ◽  
Vol 531 ◽  
pp. 547-553 ◽  
Author(s):  
Li Xin Zhang ◽  
Shuai Ling Wei ◽  
Zheng Guang Xu ◽  
Xue Chong Ren ◽  
Li Li Lin ◽  
...  

In the quantitative analysis of metallographic organization, the grain size is a fundamental parameter. The traditional methods of getting the grain size depend on artificiality. These means have strong subjectivity and low efficiency. In this paper, a new digital image processing technology method is proposed for the measurement of the grain size. The experiment with the 7050 Al-alloy samples show that the proposed algorithm has performed well compared with the artificial methods.


PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245452
Author(s):  
Hamzah M. Beakawi Al-Hashemi ◽  
Omar S. Baghabra Al-Amoudi ◽  
Zain H. Yamani ◽  
Yassir M. Mustafa ◽  
Habib-ur-Rehman Ahmed

The grain size analysis plays a significant role in any geotechnical study. The grain size analysis, by means of sieving, is usually used for coarse material of particle size > 75 μm. For the fine material; the sedimentation methods are frequently adopted (e.g., hydrometers). Other methods also exist such as electron microscopy, digital image analysis and laser diffraction. The fine geomaterials commonly undergo agglomeration which makes the recognition of individual grain size using digital image analysis or electron microscopy challenging. To facilitate and enhance the grain-size analysis, this study was conducted using the Laser Diffraction System (LDS). Seven samples with different nature (composition and texture) and sources were analyzed by hydrometer and LDS. For LDS, various factors were studied such as air pressure, sonication, dilution, refractive index, and distribution method (volume or number). The results were compared qualitatively and quantitatively based on soil classification systems, fractal dimensions, and other parameters. Furthermore, this study provided a novel criterion to determine which LDS distribution method (volume or number) is to be used depending on the Liquid Limit. A combined sieve-LDS system is recommended to obtain the entire grain size distribution. It is concluded that the LDS is a viable technique that can replace the time-consuming hydrometer method to assess the grain-size distribution.


Author(s):  
Michael E. Rosenfeld

The widespread use of digital image processing systems for high resolution morphometric applications has been limited by the cost and difficulty of interfacing systems to electron microscopes. The recent development of image acquisition boards and software for PC-AT based systems and the availability of scanning electron microscopes that are capable of scanning at true TV rates (RS-170 compatible signals), have alleviated these problems. We have assembled a system consisting of a Compaq Portable 286 (Compaq Computer Corp. Houston, TX) equipped with an FG-100 image acquisition board (Imaging Technology Inc. Woburn, MA), interfaced with a Philips 515 SEM containing a motorized stage and Edax stage controller (Philips Electronics Inc. Mahwah, NJ).Utilizing commercially available software, this system has extensive image processing and morphometric analysis capabilities. For example, because TV scan rates generate images with low signal to noise ratios, improvement of the image quality is possible via real time image averaging and background subtraction using the the FG-100 board Feedback/Input lookup table.


2017 ◽  
Author(s):  
Robbi Rahim

Digital image processing is a computational process that is widely used today starting from editing photos or also the manipulation of the picture, one form of image processing is edge detection, edge detection in images is one technique that can be used to mark parts into detail of the picture, either a blurred image due to error or the effect of the image acquisition process, in this study using the Frei-Chen algorithm to perform edge detection image in order to know the borders of the picture.


Author(s):  
R. C. Gonzalez

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.


Author(s):  
L. Montoto ◽  
M. Montoto ◽  
A. Bel-Lan

INTRODUCTION.- The physical properties of rock masses are greatly influenced by their internal discontinuities, like pores and fissures. So, these need to be measured as a basis for interpretation. To avoid the basic difficulties of measurement under optical microscopy and analogic image systems, the authors use S.E.M. and multiband digital image processing. In S.E.M., analog signal processing has been used to further image enhancement (1), but automatic information extraction can be achieved by simple digital processing of S.E.M. images (2). The use of multiband image would overcome difficulties such as artifacts introduced by the relative positions of sample and detector or the typicals encountered in optical microscopy.DIGITAL IMAGE PROCESSING.- The studied rock specimens were in the form of flat deformation-free surfaces observed under a Phillips SEM model 500. The SEM detector output signal was recorded in picture form in b&w negatives and digitized using a Perkin Elmer 1010 MP flat microdensitometer.


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