X-Ray Absorption Analysis By Image Processing Techniques

1989 ◽  
Author(s):  
Wolfgang Trinkies ◽  
Bernd-H. Muller ◽  
Wolfgang Wiethaup
Keyword(s):  
Image Processing ◽  
Absorption Analysis ◽  
X Ray ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
X Ray Absorption

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

Materials ◽  
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.

Image processing techniques used for dental x-ray image analysis

2008 ◽  
Author(s):  
Stefan Oprea ◽  
Costin Marinescu ◽  
Ioan Lita ◽  
Mariana Jurianu ◽  
Daniel Alexandru Visan ◽  
...  
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
X Ray ◽  
Image Processing Techniques ◽  
Processing Techniques

Improved image processing techniques for multiple-angle x-ray bone densitometry

1995 ◽  
Author(s):  
Lawrence M. Jordan ◽  
Li Gao ◽  
Peter G. Davis ◽  
Frank A. DiBianca ◽  
Jeno I. Sebes ◽  
...  
Keyword(s):  
Image Processing ◽  
Bone Densitometry ◽  
X Ray ◽  
Image Processing Techniques ◽  
Processing Techniques

scholarly journals Segmentation of Medical X-ray Bone Image Using Different Image Processing Techniques

2021 ◽  
Vol 13 (5) ◽  
pp. 27-40
Author(s):  
Folasade Olubusola Isinkaye ◽  
Abiodun Gabriel Aluko ◽  
Olayinka Ayodele Jongbo
Keyword(s):  
Image Processing ◽  
X Ray ◽  
Image Processing Techniques ◽  
Processing Techniques

scholarly journals Detection of Brain Tumor using Image Processing Techniques

2019 ◽  
Vol 8 (5S3) ◽  
pp. 501-504
Keyword(s):  
Image Processing ◽  
Brain Tumor ◽  
The Body ◽  
Body Parts ◽  
X Ray ◽  
Image Processing Techniques ◽  
Stage Process ◽  
Detection And Diagnosis ◽  
Processing Techniques ◽  
The Brain

Image processing in biomedical field is being increasingly used for the detection and diagnosis of various abnormalities in the body parts. The detection of brain tumours using image processing on MRI images is one such field where better results are obtained as comparative to CT-scan and x-ray. Prior detection of the brain tumour is desirable and possible with the help of machine learning and image processing techniques. These techniques detect even a small abnormality in the human brain following a four-stage process which includes pre-processing, segmentation, feature extraction and optimization. Different parameters such as accuracy, PSNR, MSE are calculated to find out the efficiency of process and to compare it with other methods. This paper reviews about various different approaches which are used to detect the brain tumor using image processing techniques.

scholarly journals Image Processing Techniques in Periapical Dental X-Ray Image Detection and Classification

Webology ◽  
2021 ◽  
Vol 18 (SI02) ◽  
pp. 42-53
Author(s):  
M. Sangeetha ◽  
Kailash Kumar ◽  
Ahmed Abdullah Aljabr
Keyword(s):  
Image Processing ◽  
Direct Observation ◽  
Image Detection ◽  
X Ray ◽  
Image Processing Techniques ◽  
Patient Diagnosis ◽  
Alternative Approach ◽  
Processing Techniques ◽  
Root Planning ◽  
Scaling And Root Planning

An Image procedure method is a method that is beneficial in involving direct observation of the patient diagnosis of determination. These are the ideas to ploy the format of the splitting of various tush forms available inside the X-radiation of dental images that would be applied for the enamel splinter, scaling, and root planning, and so on that presupposes a lead job inside the detectable evidence of infirmity. The splitting and assembling of x-radiation images of teeth for detecting, among the huge directory in clinical regular procedure, is phenomenal satisfactory in magnificence and time overwhelming programme. This challenge is split into 5 extraordinary modules initiate with fetching x-radiation figures of teeth as the data to perform operations over it accompanied via preprocessing and segmentation. The capabilities are extricated for research and examining digital images and execute a class of affected teeth. In the paper, an alternative approach for the splitting and representation of grandiose tooth head.

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