Counting number of sweat glands using image processing
This paper presents counting number of the sweat glands using image processing. This method uses a process of image processing as follows. The cropped image of the sweat glands is resized for an extensive size and it is converted to gray image. Then, unsharp filter is used for this image to adjust c...
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| creator | Pakkaselevat, N. Kiattisin, S. Wongseree, W. Leelasantitham, A. |
| description | This paper presents counting number of the sweat glands using image processing. This method uses a process of image processing as follows. The cropped image of the sweat glands is resized for an extensive size and it is converted to gray image. Then, unsharp filter is used for this image to adjust clearly the sweat glands. Quality of the image will be improved for image enhancement using adaptive histogram equalization. Finally, extended minima transform, i.e. the regional minima of the H-minima transform, is used for counting number of the sweat glands. The experimental results show that the accuracy, sensitivity and precision are approximately at 70.31%, 77.38% and 88.89%, respectively. It saves time to analysis of the sweat glands. |
| doi_str_mv | 10.1109/BMEiCon.2012.6172039 |
| format | Conference Proceeding |
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This method uses a process of image processing as follows. The cropped image of the sweat glands is resized for an extensive size and it is converted to gray image. Then, unsharp filter is used for this image to adjust clearly the sweat glands. Quality of the image will be improved for image enhancement using adaptive histogram equalization. Finally, extended minima transform, i.e. the regional minima of the H-minima transform, is used for counting number of the sweat glands. The experimental results show that the accuracy, sensitivity and precision are approximately at 70.31%, 77.38% and 88.89%, respectively. 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This method uses a process of image processing as follows. The cropped image of the sweat glands is resized for an extensive size and it is converted to gray image. Then, unsharp filter is used for this image to adjust clearly the sweat glands. Quality of the image will be improved for image enhancement using adaptive histogram equalization. Finally, extended minima transform, i.e. the regional minima of the H-minima transform, is used for counting number of the sweat glands. The experimental results show that the accuracy, sensitivity and precision are approximately at 70.31%, 77.38% and 88.89%, respectively. It saves time to analysis of the sweat glands.</description><subject>Accuracy</subject><subject>counting</subject><subject>Diseases</subject><subject>Histograms</subject><subject>Image processing</subject><subject>Sensitivity</subject><subject>Sweat glands</subject><subject>Transforms</subject><isbn>9781457721892</isbn><isbn>1457721899</isbn><isbn>9781457721908</isbn><isbn>1457721880</isbn><isbn>9781457721885</isbn><isbn>1457721902</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNT8FKw0AUXBFBqfkCPewPJL7dTXbzjhqqFSpeei_7sm9DpE1KNkX8e1vswbkMMwPDjBCPCgqlAJ9ePpZ9Mw6FBqULq5wGg1ciQ1ersnJOK4T6-r-uUd-KLKUvOMHaqlTmTthmPA5zP3RyOO6JJzlGmb7Zz7Lb-SEkeUznsN_7juVhGltOZ-Ne3ES_S5xdeCE2r8tNs8rXn2_vzfM67xHmXFsKLXkgthSRmF2MLXvSCDEgGKqgxdY6pGDqkiwilVZzbdgH8qEyC_HwV9sz8_YwnWZMP9vLWfMLrN9KXA</recordid><startdate>201201</startdate><enddate>201201</enddate><creator>Pakkaselevat, N.</creator><creator>Kiattisin, S.</creator><creator>Wongseree, W.</creator><creator>Leelasantitham, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201201</creationdate><title>Counting number of sweat glands using image processing</title><author>Pakkaselevat, N. ; Kiattisin, S. ; Wongseree, W. ; Leelasantitham, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-26bdcba0be6bf9bee7ffceab290fd903b50c9c679bd384b699b462e83eadbad53</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Accuracy</topic><topic>counting</topic><topic>Diseases</topic><topic>Histograms</topic><topic>Image processing</topic><topic>Sensitivity</topic><topic>Sweat glands</topic><topic>Transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Pakkaselevat, N.</creatorcontrib><creatorcontrib>Kiattisin, S.</creatorcontrib><creatorcontrib>Wongseree, W.</creatorcontrib><creatorcontrib>Leelasantitham, 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>Pakkaselevat, N.</au><au>Kiattisin, S.</au><au>Wongseree, W.</au><au>Leelasantitham, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Counting number of sweat glands using image processing</atitle><btitle>The 4th 2011 Biomedical Engineering International Conference</btitle><stitle>BMEiCon</stitle><date>2012-01</date><risdate>2012</risdate><spage>147</spage><epage>150</epage><pages>147-150</pages><isbn>9781457721892</isbn><isbn>1457721899</isbn><eisbn>9781457721908</eisbn><eisbn>1457721880</eisbn><eisbn>9781457721885</eisbn><eisbn>1457721902</eisbn><abstract>This paper presents counting number of the sweat glands using image processing. This method uses a process of image processing as follows. The cropped image of the sweat glands is resized for an extensive size and it is converted to gray image. Then, unsharp filter is used for this image to adjust clearly the sweat glands. Quality of the image will be improved for image enhancement using adaptive histogram equalization. Finally, extended minima transform, i.e. the regional minima of the H-minima transform, is used for counting number of the sweat glands. The experimental results show that the accuracy, sensitivity and precision are approximately at 70.31%, 77.38% and 88.89%, respectively. It saves time to analysis of the sweat glands.</abstract><pub>IEEE</pub><doi>10.1109/BMEiCon.2012.6172039</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Accuracy counting Diseases Histograms Image processing Sensitivity Sweat glands Transforms |
| title | Counting number of sweat glands using image processing |
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