Image Processing for Multiple Micro-Radiography Images

Andreas Christian Louk; Gede Bayu Suparta; Nurul Hidayah

doi:10.4028/www.scientific.net/AMR.896.676

Paper Titles

Quantitative Bump Height Analysis in ENIG Using Design of Experiment
p.660

Automation of Four Circle Diffractomete /Texture Diffractometer for Studies of Crystal Structure and Texture Measurements
p.664

Celluloide Film Based Infrared Bandpass Filter for Thermography
p.668

Comparison between Automatic and Semiautomatic Thresholding Method for Mammographic Density Classification
p.672

Image Processing for Multiple Micro-Radiography Images
p.676

3D Micro-Radiography Imaging for Quick Assessment on Small Specimen
p.681

Effect of EDTA and PYP as Co-Ligand of Radiolabeled Nanomaterial M41S-NH₂ for Radiosynovectomy
p.687

Weld Defect Classification in Radiographic Film Using Statistical Texture and Support Vector Machine
p.695

Investigation of Moisture in Coal Using Electrical Capacitance Volume Tomography
p.701

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 896Image Processing for Multiple Micro-Radiography...

Image Processing for Multiple Micro-Radiography Images

Abstract:

An image processing method has been developed for processing multiple images of x-ray micro-radiography. An x-ray micro-radiography image reflects quantum mottle so that its information content may tends to be corrupted. Therefore, a digital processing method has been developed to reduce the effect of quantum mottle as well as reducing the noise level. A set of radiographs are collected then summed. An image subtraction by a background image is carried out prior to the summation process. The signal to noise ratio (SNR) and contrast to noise ratio (CNR) after processing are compared with the SNR and CNR prior to the processing. As a result the final image for small specimen under x-ray micro-radiography inspection is better than original image without processing based on SNR and CNR assessments.

You might also be interested in these eBooks

Advanced Materials Science and Technology

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 896)

Pages:

676-680

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.896.676

Citation:

Cite this paper

Online since:

February 2014

Authors:

Andreas Christian Louk, Gede Bayu Suparta*, Nurul Hidayah

Keywords:

Image Processing, Micro-Radiography, Noise Ratio, Small Specimen

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] G. Dougherty, Digital Image Processing for Medical Applications. New York: Cambridge University Press; (2009).

Google Scholar

[2] P. Sprawls, The Physical Principles of Medical Imaging, 2nd Ed. Aspen Publishers; (1995).

Google Scholar

[3] W.R. Hendee and E.R. Ritenour, Medical Imaging Physics. New York: Wiley-Liss, Inc.; (2002).

Google Scholar

[4] G. B. Suparta, W. Sutrisna, G. A. Wiguna and A. C. Louk, 2013, Radioscopy-Based Digital Radiography System For Industry, Paper in MINDTCE 2013, Kuala Lumpur, 16-18 Juni (2013).

Google Scholar

[5] F. Cahyaningrum, Inspection on Integrated Circuit (IC) Using Digital X-Ray Microradiography, Bachelor Thesis, Gadjah Mada University, Yogyakarta, (2011).

Google Scholar

[6] N. H. Sam, Image Analysis of Characteristics Internal Cellular Card With Microradiography Digital X-Ray, Bachelor Thesis, Gadjah Mada University, Yogyakarta, (2011).

Google Scholar

[7] U. Ewert, U. Zscherpel, and M. Jechow, Essential Parameters and Conditions for Optimum Image Quality in Digital Radiology, Proceeding, The 18th World Conference on Nondestructive Testing, Durban, South Africa 16-20 April (2012).

Google Scholar

[8] N. Desai, A. Singh, and D.J. Valentino, Practical Evaluation of Image Quality in Computed Radiographic(CR) Imaging System, Proc SPIE 7622, Medical Imaging: Physics of Medical Imaging, 76224Q, pp.1-10, (2010).

DOI: 10.1117/12.844640

Google Scholar