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Article: Realizations of fast 2-D/3-D image filtering and enhancement

TitleRealizations of fast 2-D/3-D image filtering and enhancement
Authors
KeywordsFuzzy Domain Transformation
Image Enhancement
Image Visualization
Recursive Filtering
Issue Date2001
Citation
Ieee Transactions On Medical Imaging, 2001, v. 20 n. 2, p. 132-140 How to Cite?
AbstractThis paper proposes a novel algorithm for multidimensional image enhancement based on a fuzzy domain enhancement method, and an implementation of a recursive and separable low-pass filter. Considering a smoothed image as a fuzzy data set, each pixel in an image is processed independently, using fuzzy domain transformation and enhancement of both the dynamic range and the local gray level variations. The algorithm has the advantages of being fast and adaptive, so it can be used in real-time image processing applications and for multidimensional data with low computational cost. It also the ability to reduce noise and unwanted background that may affect the visualization quality of two-dimensional (2-D)/three-dimensional (3-D) data. Examples for the applications of the algorithm are given for mammograms, ultrasound 3-D images, and photographic images.
Persistent Identifierhttp://hdl.handle.net/10722/155142
ISSN
2015 Impact Factor: 3.756
2015 SCImago Journal Rankings: 1.941
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorTang, Hen_US
dc.contributor.authorZhuang, Ten_US
dc.contributor.authorWu, EXen_US
dc.date.accessioned2012-08-08T08:32:03Z-
dc.date.available2012-08-08T08:32:03Z-
dc.date.issued2001en_US
dc.identifier.citationIeee Transactions On Medical Imaging, 2001, v. 20 n. 2, p. 132-140en_US
dc.identifier.issn0278-0062en_US
dc.identifier.urihttp://hdl.handle.net/10722/155142-
dc.description.abstractThis paper proposes a novel algorithm for multidimensional image enhancement based on a fuzzy domain enhancement method, and an implementation of a recursive and separable low-pass filter. Considering a smoothed image as a fuzzy data set, each pixel in an image is processed independently, using fuzzy domain transformation and enhancement of both the dynamic range and the local gray level variations. The algorithm has the advantages of being fast and adaptive, so it can be used in real-time image processing applications and for multidimensional data with low computational cost. It also the ability to reduce noise and unwanted background that may affect the visualization quality of two-dimensional (2-D)/three-dimensional (3-D) data. Examples for the applications of the algorithm are given for mammograms, ultrasound 3-D images, and photographic images.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Transactions on Medical Imagingen_US
dc.subjectFuzzy Domain Transformationen_US
dc.subjectImage Enhancementen_US
dc.subjectImage Visualizationen_US
dc.subjectRecursive Filteringen_US
dc.titleRealizations of fast 2-D/3-D image filtering and enhancementen_US
dc.typeArticleen_US
dc.identifier.emailWu, EX:ewu1@hkucc.hku.hken_US
dc.identifier.authorityWu, EX=rp00193en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/42.913179en_US
dc.identifier.scopuseid_2-s2.0-0035241672en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035241672&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume20en_US
dc.identifier.issue2en_US
dc.identifier.spage132en_US
dc.identifier.epage140en_US
dc.identifier.isiWOS:000167822400005-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridTang, H=36827331000en_US
dc.identifier.scopusauthoridZhuang, T=7006739100en_US
dc.identifier.scopusauthoridWu, EX=7202128034en_US

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