DocumentCode
606401
Title
Structural enhancement of digital X-ray image of bone with a suitable denoising technique
Author
Kundu, Rupam
Author_Institution
A.K. Choudhury Sch. of Inf. Technol., Univ. of Calcutta, Kolkata, India
fYear
2013
fDate
28-30 March 2013
Firstpage
17
Lastpage
22
Abstract
X-ray image is the noninvasive medical test that is commonly used for visual verification of bone anatomy and bone structure. X-ray image sometimes lack sharpness and clarity of bone details. In this paper we have performed a structural enhancement of digital X-ray images of bones, using Gaussian higher order derivative operation with a prior suitable PND-NLM denoising technique. To the best of our knowledge the proposed technique for structure enhancement of digital X-ray bone images is first of its kind. The denoising process efficiently cleans noise, preserves fine information and processes the large sized digital image at very high speed. The experimental results of the method on digital radiograph image demonstrate the advantage of the technique. MATLAB2009b image processing toolbox was used for simulation and verification of the proposed methodology.
Keywords
bone; diagnostic radiography; image denoising; medical image processing; Gaussian higher order derivative operation; MATLAB2009b image processing toolbox; PND-NLM denoising technique; X-ray image denoising technique; bone anatomy visual verification; bone digital X-ray image; bone structure visual verification; digital X-ray image structural enhancement; digital radiograph image; noninvasive medical test; Bones; Kernel; Noise measurement; Noise reduction; PSNR; X-ray imaging; Gaussian higher order derivative; X-ray(radiograph) image enhancement; image denoising; principal neighborhood dictionaries Non local means (PND-NLM);
fLanguage
English
Publisher
ieee
Conference_Titel
Medical Informatics and Telemedicine (ICMIT), 2013 Indian Conference on
Conference_Location
Kharagpur
Print_ISBN
978-1-4673-5840-8
Type
conf
DOI
10.1109/IndianCMIT.2013.6529401
Filename
6529401
Link To Document