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Conference Paper: Multiscale edge detection for medical image enhancement

TitleMultiscale edge detection for medical image enhancement
Authors
KeywordsComputational methods
Edge detection
Image enhancement
Issue Date1996
PublisherAlliance for Engineering in Medicine and Biology
Citation
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 1996, v. 3, p. 1115-1116 How to Cite?
AbstractA general framework is presented in this paper for edge detection and enhancement of medical images. The method is based on multiscale analysis using filter banks, and it is adaptive to a large number of features. Initially, an optimal one-scale filter is designed for the required detection. This one-scale filter is further extended to a set of multiscale filters, which in turn are used in designing the filter bank that would provide the desired multiscale responses. Subsequently, the scale space information is optimally combined in a maximum-a-posteriori (MAP) classifier, whose design depends on the desired feature and the resulting filter bank. The method is robust to noisy conditions which are common to medical images in angiography, echocardiography, blood vessels, and others based on ultrasonic imaging, xray, and tomography.
Persistent Identifierhttp://hdl.handle.net/10722/65562
ISSN

 

DC FieldValueLanguage
dc.contributor.authorHajj, Hazem Men_HK
dc.contributor.authorNguyen, Truong Qen_HK
dc.contributor.authorChin, Roland Ten_HK
dc.date.accessioned2010-08-31T07:16:06Z-
dc.date.available2010-08-31T07:16:06Z-
dc.date.issued1996en_HK
dc.identifier.citationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 1996, v. 3, p. 1115-1116en_HK
dc.identifier.issn0589-1019en_HK
dc.identifier.urihttp://hdl.handle.net/10722/65562-
dc.description.abstractA general framework is presented in this paper for edge detection and enhancement of medical images. The method is based on multiscale analysis using filter banks, and it is adaptive to a large number of features. Initially, an optimal one-scale filter is designed for the required detection. This one-scale filter is further extended to a set of multiscale filters, which in turn are used in designing the filter bank that would provide the desired multiscale responses. Subsequently, the scale space information is optimally combined in a maximum-a-posteriori (MAP) classifier, whose design depends on the desired feature and the resulting filter bank. The method is robust to noisy conditions which are common to medical images in angiography, echocardiography, blood vessels, and others based on ultrasonic imaging, xray, and tomography.en_HK
dc.languageengen_HK
dc.publisherAlliance for Engineering in Medicine and Biologyen_HK
dc.relation.ispartofAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedingsen_HK
dc.subjectComputational methodsen_HK
dc.subjectEdge detectionen_HK
dc.subjectImage enhancementen_HK
dc.titleMultiscale edge detection for medical image enhancementen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChin, Roland T: rchin@hku.hken_HK
dc.identifier.authorityChin, Roland T=rp01300en_HK
dc.description.naturelink_to_subscribed_fulltexten_HK
dc.identifier.scopuseid_2-s2.0-0030312999en_HK
dc.identifier.volume3en_HK
dc.identifier.spage1115en_HK
dc.identifier.epage1116en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridHajj, Hazem M=35117824200en_HK
dc.identifier.scopusauthoridNguyen, Truong Q=35556344800en_HK
dc.identifier.scopusauthoridChin, Roland T=7102445426en_HK

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