Singularities of principal direction fields from 3-D images
Generic singularities can provide position-independent information about the qualitative shape of surfaces. The authors determine the singularities of the principal direction fields of a surface (its umbilic points) from a computation of the index of the fields. The authors present examples both for...
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| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence 1992-03, Vol.14 (3), p.309-317 |
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| container_title | IEEE transactions on pattern analysis and machine intelligence |
| container_volume | 14 |
| creator | Sander, P.T. Zucker, S.W. |
| description | Generic singularities can provide position-independent information about the qualitative shape of surfaces. The authors determine the singularities of the principal direction fields of a surface (its umbilic points) from a computation of the index of the fields. The authors present examples both for 3-D synthetic images to which noise has been added and for clinical magnetic resonance images.< > |
| doi_str_mv | 10.1109/34.120326 |
| format | Article |
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The authors determine the singularities of the principal direction fields of a surface (its umbilic points) from a computation of the index of the fields. The authors present examples both for 3-D synthetic images to which noise has been added and for clinical magnetic resonance images.< ></description><subject>Algorithm design and analysis</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Geometry</subject><subject>Image analysis</subject><subject>Magnetic analysis</subject><subject>Magnetic noise</subject><subject>Magnetic resonance</subject><subject>Noise shaping</subject><subject>Pattern recognition. Digital image processing. 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Computational geometry</topic><topic>Shape</topic><topic>Yield estimation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sander, P.T.</creatorcontrib><creatorcontrib>Zucker, S.W.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on pattern analysis and machine intelligence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sander, P.T.</au><au>Zucker, S.W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Singularities of principal direction fields from 3-D images</atitle><jtitle>IEEE transactions on pattern analysis and machine intelligence</jtitle><stitle>TPAMI</stitle><date>1992-03-01</date><risdate>1992</risdate><volume>14</volume><issue>3</issue><spage>309</spage><epage>317</epage><pages>309-317</pages><issn>0162-8828</issn><eissn>1939-3539</eissn><coden>ITPIDJ</coden><abstract>Generic singularities can provide position-independent information about the qualitative shape of surfaces. The authors determine the singularities of the principal direction fields of a surface (its umbilic points) from a computation of the index of the fields. The authors present examples both for 3-D synthetic images to which noise has been added and for clinical magnetic resonance images.< ></abstract><cop>Los Alamitos, CA</cop><pub>IEEE</pub><doi>10.1109/34.120326</doi><tpages>9</tpages></addata></record> |
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| identifier | ISSN: 0162-8828 |
| ispartof | IEEE transactions on pattern analysis and machine intelligence, 1992-03, Vol.14 (3), p.309-317 |
| issn | 0162-8828 1939-3539 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_25870999 |
| source | IEEE Electronic Library (IEL) |
| subjects | Algorithm design and analysis Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Geometry Image analysis Magnetic analysis Magnetic noise Magnetic resonance Noise shaping Pattern recognition. Digital image processing. Computational geometry Shape Yield estimation |
| title | Singularities of principal direction fields from 3-D images |
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