Does Background Intensity Estimation Influence the Iterative Restoration of Microscope Images?
A new background estimation method is proposed to improve iterative restoration of microscope images. The method is based on a sequence of subtractions performed in the beginning of an iterative restoration procedure. A series of experiments using background intensity detection methods were carried...
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description | A new background estimation method is proposed to improve iterative restoration of microscope images. The method is based on a sequence of subtractions performed in the beginning of an iterative restoration procedure. A series of experiments using background intensity detection methods were carried out in order to analyse the influence of a correct estimation of the background. The restoration results as a function of the detected background value is discussed. The results indicates a strong influence of the estimate on the restoration of images. When compared to an optimal error-based method, the proposed method was faster and obtained a good approximation to the correct value. |
doi_str_mv | 10.1109/SIBGRAPI.2010.16 |
format | Conference Proceeding |
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The method is based on a sequence of subtractions performed in the beginning of an iterative restoration procedure. A series of experiments using background intensity detection methods were carried out in order to analyse the influence of a correct estimation of the background. The restoration results as a function of the detected background value is discussed. The results indicates a strong influence of the estimate on the restoration of images. When compared to an optimal error-based method, the proposed method was faster and obtained a good approximation to the correct value.</description><subject>background estimation</subject><subject>Biomedical imaging</subject><subject>Estimation</subject><subject>Histograms</subject><subject>Image restoration</subject><subject>Iterative methods</subject><subject>Microscopy</subject><subject>Noise</subject><issn>1530-1834</issn><issn>2377-5416</issn><isbn>9781424484201</isbn><isbn>1424484200</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjl1LwzAYhYMfYJ27F7zJH-jMZ5NcyTbnLEyUqbeOJn0zq1szmkzYv7cyrw485-FwELqmZEQpMbev5WS-HL-UI0b-UHGCMsaVyqWgxSkaGqWpYEJo0fdnKKOSk5xqLi7QZYxfhFBjCp2hj_sAEU8q973uwr6tcdkmaGOTDngWU7OtUhPaHvrNHloHOH0CLhN0Pf8BvISYQnd0gsdPjetCdGHXO9tqDfHuCp37ahNh-J8D9P4we5s-5ovneTkdL_KGclbk3lZCs8JQ0LVkovZOKsXAGFoTVWtvraPgJFHUGmst8UIKXSvBWGW44pIP0M1xtwGA1a7rj3eHlVSMcKH4Lz_2Vpo</recordid><startdate>201008</startdate><enddate>201008</enddate><creator>Ponti, M P</creator><creator>Mascarenhas, N D A</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201008</creationdate><title>Does Background Intensity Estimation Influence the Iterative Restoration of Microscope Images?</title><author>Ponti, M P ; Mascarenhas, N D A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1326-fba482691e8d524dfc5772e991d07d8fbbc1ec5071b9bbb0f4548d7422a937353</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>background estimation</topic><topic>Biomedical imaging</topic><topic>Estimation</topic><topic>Histograms</topic><topic>Image restoration</topic><topic>Iterative methods</topic><topic>Microscopy</topic><topic>Noise</topic><toplevel>online_resources</toplevel><creatorcontrib>Ponti, M P</creatorcontrib><creatorcontrib>Mascarenhas, N D A</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ponti, M P</au><au>Mascarenhas, N D A</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Does Background Intensity Estimation Influence the Iterative Restoration of Microscope Images?</atitle><btitle>2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images</btitle><stitle>sibgrapi</stitle><date>2010-08</date><risdate>2010</risdate><spage>56</spage><epage>62</epage><pages>56-62</pages><issn>1530-1834</issn><eissn>2377-5416</eissn><isbn>9781424484201</isbn><isbn>1424484200</isbn><abstract>A new background estimation method is proposed to improve iterative restoration of microscope images. The method is based on a sequence of subtractions performed in the beginning of an iterative restoration procedure. A series of experiments using background intensity detection methods were carried out in order to analyse the influence of a correct estimation of the background. The restoration results as a function of the detected background value is discussed. The results indicates a strong influence of the estimate on the restoration of images. When compared to an optimal error-based method, the proposed method was faster and obtained a good approximation to the correct value.</abstract><pub>IEEE</pub><doi>10.1109/SIBGRAPI.2010.16</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | background estimation Biomedical imaging Estimation Histograms Image restoration Iterative methods Microscopy Noise |
title | Does Background Intensity Estimation Influence the Iterative Restoration of Microscope Images? |
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