Experimental investigation of the spatial variability of the steel weight loss and corrosion cracking of reinforced concrete members: novel X-ray and digital image processing techniques

One of the main disease caused by the COVID-19 in the humans is the pneumonia. This disease mainly attacks the lungs and one of the effective methods for diagnosis is through X-ray chest analysis. Due this in this work a methodology that allow the segmentation and analysis of regions that belong to the lungs in images of X-ray chest is presented. This methodology is based mainly in the implementation of some digital image processing techniques such as: contrast enhancement, segmentation, binarization and the application of morphological operations as the erosion and dilatation.

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X-ray Absorption (XRA): A New Technique for the Characterization of Granular Activated Carbons

Materials ◽

10.3390/ma14010091 ◽

2020 ◽

Vol 14 (1) ◽

pp. 91

Author(s):

Jeamichel Puente Torres ◽

Harold Crespo Sariol ◽

Thayset Mariño Peacok ◽

Jan Yperman ◽

Peter Adriaensens ◽

...

Keyword(s):

Image Processing ◽

Digital Image Processing ◽

Atomic Number ◽

Digital Image ◽

Activated Carbons ◽

Effective Atomic Number ◽

X Ray ◽

Image Processing Techniques ◽

Processing Techniques ◽

X Ray Absorption

The X-ray absorption (XRA) method using digital image processing techniques is a reliable technique to determine the exhaustion degree of granular activated carbons (GACs). Using an innovative digital image processing technique, the identification of individual adsorbed molecules or ions in a GAC was possible. Adsorption isotherm models (Langmuir and Freundlich) were used to simulate the adsorption equilibrium data of Methylene Blue (MB), nickel, cobalt and iodine. Freundlich equation was found to have the highest value of R2 compared with Langmuir. The identification of distinctive patterns applying XRA for different adsorbed ions and molecules onto GAC was explored. It is demonstrated that unique XRA configurations for each adsorbed ion or molecule are found, as well as a proportional relationship between its incident energy (needed to achieve maximum photon attenuation) and the (effective) atomic number, the adsorbate mass and the molar or atomic mass of adsorbed molecule or ion. XRA method in combination with image histogram modifications was used to obtain a digital signature of adsorbed ions/molecules, giving distinct GSI values for each one in the used energy range. Probabilistic models prove that XRA results are within relationships between effective atomic number and photonic interaction probability, reinforcing the potentialities of XRA for monitoring (multi-)ion and/or molecule combinations on GAC using advanced digital image processing techniques. It was proved that the proposed approach could assess different adsorbed ions/molecules onto GACs in water purification systems.

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Detecting Thread Features Based on Digital Image Processing Techniques

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.889-890.1107 ◽

2014 ◽

Vol 889-890 ◽

pp. 1107-1110

Author(s):

Han Ming Cai ◽

Pei Yao Wang ◽

Xiao Mei Song

Keyword(s):

Image Processing ◽

Digital Image Processing ◽

Digital Image ◽

Measurement Accuracy ◽

Measuring Method ◽

Image Processing Techniques ◽

Basic Image ◽

The Cost ◽

Processing Techniques ◽

Gauge Measurement

Thread features of the traditional measuring method mainly adopts working gauge measurement, due to limitations in the traditional thread features measurement accuracy is relatively low, the efficiency is low, the cost is high. The thread features detection method based on digital image processing techniques using CCD to obtain basic image of thread, processing the thread image, extracting thread outline, calculating thread features through the computer, improves the efficiency, saves the cost.

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