dc.contributor.author | Garg, Amit | |
dc.contributor.author | Khandelwal, Vineet | |
dc.date.accessioned | 2018-09-04T08:49:45Z | |
dc.date.available | 2018-09-04T08:49:45Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Advances in electrical and electronic engineering. 2017, vol. 15, no. 5, p. 857-865 : ill. | cs |
dc.identifier.issn | 1336-1376 | |
dc.identifier.issn | 1804-3119 | |
dc.identifier.uri | http://hdl.handle.net/10084/131492 | |
dc.description.abstract | The occurrence of speckle noise in medical
Ultrasound (US) images poses a big challenge to
medical practitioners over last several years. Speckle
noise reduces the fine details present in the images and
hence make it more difficult to diagnose. In this paper,
a novel method based on the combination of three
spatial domain filters is presented. The output of these
filters is combined on the basis of an Intensity Classifier
Map (ICF) formed using Coefficient of Dispersion
(CoD) parameter. Experiments were conducted on synthetic
and real US images. Quantitative and qualitative
analysis of the proposed method is carried out in comparison
to other six existing methods. It has been found
from the obtained results that proposed method delivers
observable improvement in all quantitative parameters
undertaken for synthetic US image and in MVR value
for real US images. Also, the effectiveness of the proposed
method is found to be consistent with qualitative
assessment of the denoised images. | cs |
dc.format.extent | 3779965 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | cs |
dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.relation.ispartofseries | Advances in electrical and electronic engineering | cs |
dc.relation.uri | http://dx.doi.org/10.15598/aeee.v15i5.2288 | cs |
dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | anisotropic diffusion | cs |
dc.subject | coefficient of dispersion | cs |
dc.subject | intensity classifier map | cs |
dc.subject | speckle denoising | cs |
dc.title | Combination of Spatial Domain Filters for Speckle
Noise Reduction in Ultrasound Medical Images | cs |
dc.type | article | cs |
dc.identifier.doi | 10.15598/aeee.v15i5.2288 | |
dc.rights.access | openAccess | cs |
dc.type.version | publishedVersion | cs |
dc.type.status | Peer-reviewed | cs |