A fast segmentation scheme for white blood cell images
Presents a fast segmentation scheme for automatic differential counting of white blood cells. The segmentation procedure consists of three phases. First a novel simple algorithm is proposed for localization of white blood cells. The algorithm is based on a priori information about blood smear images...
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| creator | Cseke, I. |
| description | Presents a fast segmentation scheme for automatic differential counting of white blood cells. The segmentation procedure consists of three phases. First a novel simple algorithm is proposed for localization of white blood cells. The algorithm is based on a priori information about blood smear images. In the second phase the different cell components are separated with automatic thresholding. The thresholds are selected with a simple recursive method derived from maximizing the interclass variance between dark, gray and bright regions based on the method proposed by Otsu (1979). Finally the segmented regions are smoothed by morphological operations. The segmentation scheme works successfully for classification of white blood cells. Some experimental results are also presented.< > |
| doi_str_mv | 10.1109/ICPR.1992.202041 |
| format | Conference Proceeding |
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The segmentation procedure consists of three phases. First a novel simple algorithm is proposed for localization of white blood cells. The algorithm is based on a priori information about blood smear images. In the second phase the different cell components are separated with automatic thresholding. The thresholds are selected with a simple recursive method derived from maximizing the interclass variance between dark, gray and bright regions based on the method proposed by Otsu (1979). Finally the segmented regions are smoothed by morphological operations. The segmentation scheme works successfully for classification of white blood cells. Some experimental results are also presented.< ></description><identifier>ISBN: 9780818629204</identifier><identifier>ISBN: 0818629207</identifier><identifier>DOI: 10.1109/ICPR.1992.202041</identifier><language>eng</language><publisher>IEEE Comput. Soc. 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Conference C: Image, Speech and Signal Analysis</title><addtitle>ICPR</addtitle><description>Presents a fast segmentation scheme for automatic differential counting of white blood cells. The segmentation procedure consists of three phases. First a novel simple algorithm is proposed for localization of white blood cells. The algorithm is based on a priori information about blood smear images. In the second phase the different cell components are separated with automatic thresholding. The thresholds are selected with a simple recursive method derived from maximizing the interclass variance between dark, gray and bright regions based on the method proposed by Otsu (1979). Finally the segmented regions are smoothed by morphological operations. The segmentation scheme works successfully for classification of white blood cells. Some experimental results are also presented.< ></description><subject>Cells (biology)</subject><subject>Computational geometry</subject><subject>Counting circuits</subject><subject>Geographic Information Systems</subject><subject>Histograms</subject><subject>Image segmentation</subject><subject>Morphological operations</subject><subject>Pixel</subject><subject>Tin</subject><subject>White blood cells</subject><isbn>9780818629204</isbn><isbn>0818629207</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1992</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tqwzAURAWl0JJ6H7rSD9i9kq0raRlMH4FAS2nWQY_rxMWOiyUo_fu6pLMZmMWZGcbWAiohwD5s27f3SlgrKwkSGnHFCqsNGGFQ2iW4YUVKn7BIKYOItww3vHMp80THkc7Z5X468xRONBLvppl_n_pM3A_TFHmgYeD96I6U7th154ZExb-v2P7p8aN9KXevz9t2syuDMHUuG2uDQk02aIvGUSAbgwOto_e6MSqSUlH-jQEjI4FXGhBFBPSNjCjrFbu_cHsiOnzNS_v8c7icq38BjyxDbQ</recordid><startdate>1992</startdate><enddate>1992</enddate><creator>Cseke, I.</creator><general>IEEE Comput. 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Press</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1992</creationdate><title>A fast segmentation scheme for white blood cell images</title><author>Cseke, I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c183t-499c567e9c7968aece9dca077dbb7485de55d20558082de0b570661d06b42d623</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Cells (biology)</topic><topic>Computational geometry</topic><topic>Counting circuits</topic><topic>Geographic Information Systems</topic><topic>Histograms</topic><topic>Image segmentation</topic><topic>Morphological operations</topic><topic>Pixel</topic><topic>Tin</topic><topic>White blood cells</topic><toplevel>online_resources</toplevel><creatorcontrib>Cseke, I.</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>Cseke, I.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A fast segmentation scheme for white blood cell images</atitle><btitle>Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis</btitle><stitle>ICPR</stitle><date>1992</date><risdate>1992</risdate><spage>530</spage><epage>533</epage><pages>530-533</pages><isbn>9780818629204</isbn><isbn>0818629207</isbn><abstract>Presents a fast segmentation scheme for automatic differential counting of white blood cells. The segmentation procedure consists of three phases. First a novel simple algorithm is proposed for localization of white blood cells. The algorithm is based on a priori information about blood smear images. In the second phase the different cell components are separated with automatic thresholding. The thresholds are selected with a simple recursive method derived from maximizing the interclass variance between dark, gray and bright regions based on the method proposed by Otsu (1979). Finally the segmented regions are smoothed by morphological operations. The segmentation scheme works successfully for classification of white blood cells. Some experimental results are also presented.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ICPR.1992.202041</doi><tpages>4</tpages></addata></record> |
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| identifier | ISBN: 9780818629204 |
| ispartof | Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis, 1992, p.530-533 |
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| language | eng |
| recordid | cdi_ieee_primary_202041 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cells (biology) Computational geometry Counting circuits Geographic Information Systems Histograms Image segmentation Morphological operations Pixel Tin White blood cells |
| title | A fast segmentation scheme for white blood cell images |
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