X-ray images enhancement using human visual system model properties and adaptive filters
This paper proposes the use of an adaptive image enhancement system that implements the human visual system (HVS) properties for contrast enhancement of X-ray images. X-ray images are of poor quality and are usually interpreted visually. The HVS properties considered are its adaptive nature, multich...
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creator | Hadhoud, M.M. |
description | This paper proposes the use of an adaptive image enhancement system that implements the human visual system (HVS) properties for contrast enhancement of X-ray images. X-ray images are of poor quality and are usually interpreted visually. The HVS properties considered are its adaptive nature, multichannel mechanism and high nonlinearity. The proposed method is adaptive, nonlinear and multichannel, and combines adaptive filters and homomorphic processing. Results presented illustrate the effectiveness of the proposed method. |
doi_str_mv | 10.1109/ICASSP.2001.941342 |
format | Conference Proceeding |
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X-ray images are of poor quality and are usually interpreted visually. The HVS properties considered are its adaptive nature, multichannel mechanism and high nonlinearity. The proposed method is adaptive, nonlinear and multichannel, and combines adaptive filters and homomorphic processing. Results presented illustrate the effectiveness of the proposed method.</description><identifier>ISSN: 1520-6149</identifier><identifier>ISBN: 0780370414</identifier><identifier>ISBN: 9780780370418</identifier><identifier>EISSN: 2379-190X</identifier><identifier>DOI: 10.1109/ICASSP.2001.941342</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive filters ; Adaptive systems ; Frequency ; Humans ; Image enhancement ; Laplace equations ; Layout ; Retina ; Visual system ; X-ray imaging</subject><ispartof>2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. 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Results presented illustrate the effectiveness of the proposed method.</description><subject>Adaptive filters</subject><subject>Adaptive systems</subject><subject>Frequency</subject><subject>Humans</subject><subject>Image enhancement</subject><subject>Laplace equations</subject><subject>Layout</subject><subject>Retina</subject><subject>Visual system</subject><subject>X-ray imaging</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>0780370414</isbn><isbn>9780780370418</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2001</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jsFKw0AURR9awdT2B7p6P5D0TTI2maUURXdCu8iuDOa1HclMw7xJIX9vQdeu7uJwOBdgpahQisz6Y_uy230WJZEqjFaVLu8gK6va5MpQew9zqhuqatJKzyBTzyXlG6XNI8xFvomoqXWTQdvm0U7ovD2xIIezDV_sOSQcxYUTnkdvA16djLZHmSSxR3_puMchXgaOyd00Gzq0nR2SuzIeXZ84ygIejrYXXv7tE6zeXvfb99wx82GIt2KcDr_Hq3_hDy88RYU</recordid><startdate>2001</startdate><enddate>2001</enddate><creator>Hadhoud, M.M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2001</creationdate><title>X-ray images enhancement using human visual system model properties and adaptive filters</title><author>Hadhoud, M.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_9413423</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Adaptive filters</topic><topic>Adaptive systems</topic><topic>Frequency</topic><topic>Humans</topic><topic>Image enhancement</topic><topic>Laplace equations</topic><topic>Layout</topic><topic>Retina</topic><topic>Visual system</topic><topic>X-ray imaging</topic><toplevel>online_resources</toplevel><creatorcontrib>Hadhoud, M.M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hadhoud, M.M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>X-ray images enhancement using human visual system model properties and adaptive filters</atitle><btitle>2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221)</btitle><stitle>ICASSP</stitle><date>2001</date><risdate>2001</risdate><volume>3</volume><spage>2005</spage><epage>2008 vol.3</epage><pages>2005-2008 vol.3</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>0780370414</isbn><isbn>9780780370418</isbn><abstract>This paper proposes the use of an adaptive image enhancement system that implements the human visual system (HVS) properties for contrast enhancement of X-ray images. X-ray images are of poor quality and are usually interpreted visually. The HVS properties considered are its adaptive nature, multichannel mechanism and high nonlinearity. The proposed method is adaptive, nonlinear and multichannel, and combines adaptive filters and homomorphic processing. Results presented illustrate the effectiveness of the proposed method.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2001.941342</doi></addata></record> |
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identifier | ISSN: 1520-6149 |
ispartof | 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2001, Vol.3, p.2005-2008 vol.3 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Adaptive filters Adaptive systems Frequency Humans Image enhancement Laplace equations Layout Retina Visual system X-ray imaging |
title | X-ray images enhancement using human visual system model properties and adaptive filters |
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