Reduction of twin image in in-line digital holographic microscopy for biological cells' observation by segmentation mask method
During the reconstruction process of in-line digital holographic microscopic hologram, the main noise comes from the dispersed twin image. A segmentation mask method by selecting threshold value is introduced in order to reduce the disturbance. Experimental results show the satisfied effect by the p...
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| creator | Hao Zhou Jihua Gu Daqing Chen |
| description | During the reconstruction process of in-line digital holographic microscopic hologram, the main noise comes from the dispersed twin image. A segmentation mask method by selecting threshold value is introduced in order to reduce the disturbance. Experimental results show the satisfied effect by the proposed method. |
| doi_str_mv | 10.1109/CISP.2011.6100266 |
| format | Conference Proceeding |
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A segmentation mask method by selecting threshold value is introduced in order to reduce the disturbance. 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A segmentation mask method by selecting threshold value is introduced in order to reduce the disturbance. Experimental results show the satisfied effect by the proposed method.</description><subject>Biological cells</subject><subject>biological cells' observation</subject><subject>digital holographic microscopy</subject><subject>Holography</subject><subject>Image reconstruction</subject><subject>Image segmentation</subject><subject>Microscopy</subject><subject>Optical microscopy</subject><subject>Optimized production technology</subject><subject>segmentation mask</subject><isbn>1424493048</isbn><isbn>9781424493043</isbn><isbn>1424493056</isbn><isbn>9781424493067</isbn><isbn>9781424493050</isbn><isbn>1424493064</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkEFLw0AQhVdEUGt_gHjZm6fU2c1mmz1K0VooKNp72Z1M0tUkW7JRycm_bmsLzmXmMY8P3mPsWsBECDB3s8Xby0SCEBMtAKTWJ-xSKKmUSSHTp_9C5edsHOM77EZrI4W8YD-vVHxi70PLQ8n7b99y39iK-P5ok9q3xAtf-d7WfBPqUHV2u_HIG49diBi2Ay9Dx53f_zzuXEh1HW95cJG6L_tHdgOPVDXU9gfd2PjBG-o3obhiZ6WtI42Pe8RWjw-r2VOyfJ4vZvfLxBvoE2ephGmRK9I4RYeCKCOVydwBIorMWdRCoCwKjbkBUmBEKcmkSqLNNKQjdnPAeiJab7tdxm5YH_tKfwG64GJI</recordid><startdate>201110</startdate><enddate>201110</enddate><creator>Hao Zhou</creator><creator>Jihua Gu</creator><creator>Daqing Chen</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201110</creationdate><title>Reduction of twin image in in-line digital holographic microscopy for biological cells' observation by segmentation mask method</title><author>Hao Zhou ; Jihua Gu ; Daqing Chen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-baef07d84e6c7cbc1ee5e4528b0ccc15bac611c2dd6c890e4091f2e9342ca5603</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Biological cells</topic><topic>biological cells' observation</topic><topic>digital holographic microscopy</topic><topic>Holography</topic><topic>Image reconstruction</topic><topic>Image segmentation</topic><topic>Microscopy</topic><topic>Optical microscopy</topic><topic>Optimized production technology</topic><topic>segmentation mask</topic><toplevel>online_resources</toplevel><creatorcontrib>Hao Zhou</creatorcontrib><creatorcontrib>Jihua Gu</creatorcontrib><creatorcontrib>Daqing Chen</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>Hao Zhou</au><au>Jihua Gu</au><au>Daqing Chen</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Reduction of twin image in in-line digital holographic microscopy for biological cells' observation by segmentation mask method</atitle><btitle>2011 4th International Congress on Image and Signal Processing</btitle><stitle>CISP</stitle><date>2011-10</date><risdate>2011</risdate><volume>2</volume><spage>729</spage><epage>732</epage><pages>729-732</pages><isbn>1424493048</isbn><isbn>9781424493043</isbn><eisbn>1424493056</eisbn><eisbn>9781424493067</eisbn><eisbn>9781424493050</eisbn><eisbn>1424493064</eisbn><abstract>During the reconstruction process of in-line digital holographic microscopic hologram, the main noise comes from the dispersed twin image. A segmentation mask method by selecting threshold value is introduced in order to reduce the disturbance. Experimental results show the satisfied effect by the proposed method.</abstract><pub>IEEE</pub><doi>10.1109/CISP.2011.6100266</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2011 4th International Congress on Image and Signal Processing, 2011, Vol.2, p.729-732 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Biological cells biological cells' observation digital holographic microscopy Holography Image reconstruction Image segmentation Microscopy Optical microscopy Optimized production technology segmentation mask |
| title | Reduction of twin image in in-line digital holographic microscopy for biological cells' observation by segmentation mask method |
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