Detection of skin tumor boundaries in color images
A simple and yet effective method for finding the borders of tumors is presented as an initial step towards the diagnosis of skin tumors from their color images. The method makes use of an adaptive color metric from the red, green, and blue planes that contains information for discriminating the tum...
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| Veröffentlicht in: | IEEE transactions on medical imaging 1993-09, Vol.12 (3), p.624-626 |
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| container_title | IEEE transactions on medical imaging |
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| creator | Ercal, F. Moganti, M. Stoecker, W.V. Moss, R.H. |
| description | A simple and yet effective method for finding the borders of tumors is presented as an initial step towards the diagnosis of skin tumors from their color images. The method makes use of an adaptive color metric from the red, green, and blue planes that contains information for discriminating the tumor from the background. Using this suitable coordinate transformation, the image is segmented. The tumor portion is then extracted from the segmented image and borders are drawn. Experimental results that verify the effectiveness of this approach are given.< > |
| doi_str_mv | 10.1109/42.241892 |
| format | Article |
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The method makes use of an adaptive color metric from the red, green, and blue planes that contains information for discriminating the tumor from the background. Using this suitable coordinate transformation, the image is segmented. The tumor portion is then extracted from the segmented image and borders are drawn. Experimental results that verify the effectiveness of this approach are given.< ></description><identifier>ISSN: 0278-0062</identifier><identifier>EISSN: 1558-254X</identifier><identifier>DOI: 10.1109/42.241892</identifier><identifier>PMID: 18218456</identifier><identifier>CODEN: ITMID4</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Biological and medical sciences ; Cancer detection ; Color ; Data mining ; Dermatology ; Histograms ; Humans ; Image edge detection ; Image segmentation ; Investigative techniques, diagnostic techniques (general aspects) ; Medical sciences ; Object detection ; Pathology. Cytology. Biochemistry. 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The method makes use of an adaptive color metric from the red, green, and blue planes that contains information for discriminating the tumor from the background. Using this suitable coordinate transformation, the image is segmented. The tumor portion is then extracted from the segmented image and borders are drawn. Experimental results that verify the effectiveness of this approach are given.< ></description><subject>Biological and medical sciences</subject><subject>Cancer detection</subject><subject>Color</subject><subject>Data mining</subject><subject>Dermatology</subject><subject>Histograms</subject><subject>Humans</subject><subject>Image edge detection</subject><subject>Image segmentation</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Medical sciences</subject><subject>Object detection</subject><subject>Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques</subject><subject>Skin neoplasms</subject><subject>Working environment noise</subject><issn>0278-0062</issn><issn>1558-254X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1993</creationdate><recordtype>article</recordtype><recordid>eNqF0L1LxDAYBvAgineeDq4O0kEUh57Jm8-Ocn7CgYuCW0nTVKpto0k7-N-bo-XcdAq8-fG-PA9CxwQvCcHZFYMlMKIy2EFzwrlKgbPXXTTHIFWKsYAZOgjhHWPCOM720YwoIIpxMUdwY3tr-tp1iauS8FF3ST-0zieFG7pS-9qGJM6Ma-KsbvWbDYdor9JNsEfTu0Avd7fPq4d0_XT_uLpep4ZmtE8LRY0tQYIUomBALOO6osxABUIVBZRacVZKXWVSEFYAxaqkyggwIDHFhi7Qxbj307uvwYY-b-tgbNPozroh5DIGiHG4-l9SBkwA3cjzPyUoEAITiPByhMa7ELyt8k8f4_vvnOB8U3rOIB9Lj_Z0WjoUrS1_5dRyBGcT0MHopvK6M3XYOqowZopGdjKy2lq7_Z2O_ABsdY5Z</recordid><startdate>19930901</startdate><enddate>19930901</enddate><creator>Ercal, F.</creator><creator>Moganti, M.</creator><creator>Stoecker, W.V.</creator><creator>Moss, R.H.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7U5</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><scope>7QO</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>19930901</creationdate><title>Detection of skin tumor boundaries in color images</title><author>Ercal, F. ; Moganti, M. ; Stoecker, W.V. ; Moss, R.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-b83ced272766b421e45af34c2f268bb2da854d7af97614b2308d38c62c27030c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Biological and medical sciences</topic><topic>Cancer detection</topic><topic>Color</topic><topic>Data mining</topic><topic>Dermatology</topic><topic>Histograms</topic><topic>Humans</topic><topic>Image edge detection</topic><topic>Image segmentation</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Medical sciences</topic><topic>Object detection</topic><topic>Pathology. 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Miscellaneous investigative techniques</topic><topic>Skin neoplasms</topic><topic>Working environment noise</topic><toplevel>online_resources</toplevel><creatorcontrib>Ercal, F.</creatorcontrib><creatorcontrib>Moganti, M.</creatorcontrib><creatorcontrib>Stoecker, W.V.</creatorcontrib><creatorcontrib>Moss, R.H.</creatorcontrib><collection>Pascal-Francis</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>IEEE transactions on medical imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ercal, F.</au><au>Moganti, M.</au><au>Stoecker, W.V.</au><au>Moss, R.H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detection of skin tumor boundaries in color images</atitle><jtitle>IEEE transactions on medical imaging</jtitle><stitle>TMI</stitle><addtitle>IEEE Trans Med Imaging</addtitle><date>1993-09-01</date><risdate>1993</risdate><volume>12</volume><issue>3</issue><spage>624</spage><epage>626</epage><pages>624-626</pages><issn>0278-0062</issn><eissn>1558-254X</eissn><coden>ITMID4</coden><abstract>A simple and yet effective method for finding the borders of tumors is presented as an initial step towards the diagnosis of skin tumors from their color images. The method makes use of an adaptive color metric from the red, green, and blue planes that contains information for discriminating the tumor from the background. Using this suitable coordinate transformation, the image is segmented. The tumor portion is then extracted from the segmented image and borders are drawn. Experimental results that verify the effectiveness of this approach are given.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><pmid>18218456</pmid><doi>10.1109/42.241892</doi><tpages>3</tpages></addata></record> |
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| identifier | ISSN: 0278-0062 |
| ispartof | IEEE transactions on medical imaging, 1993-09, Vol.12 (3), p.624-626 |
| issn | 0278-0062 1558-254X |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Biological and medical sciences Cancer detection Color Data mining Dermatology Histograms Humans Image edge detection Image segmentation Investigative techniques, diagnostic techniques (general aspects) Medical sciences Object detection Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques Skin neoplasms Working environment noise |
| title | Detection of skin tumor boundaries in color images |
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