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Conference Paper: PCTV: A biologically- and psychologically-inspired edge and line detection
Title | PCTV: A biologically- and psychologically-inspired edge and line detection |
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Authors | |
Keywords | Edge detection Line detection Phase congruency Primary visual cortex (V1) Tensor voting |
Issue Date | 2010 |
Publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349 |
Citation | The 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, 26-29 September 2010. In Proceedings of the 17th IEEE ICIP, 2010, p. 1621-1624 How to Cite? |
Abstract | A novel method for detecting edges and lines simultaneously and automatically is proposed. This method, based on phase congruency and tensor voting (hence PCTV), makes use of the properties of how edges and lines are built from the Fourier decomposition of an image, and how the primary visual cortex responds to them, instead of making assumptions on the intensity profiles of the regions near a feature. Experiments showed that the detection results were more consistent to the "ground truth" manually drawn by humans. For detecting edges, this method is superior to three commonly used detectors in that it reduces the production of false detections. © 2010 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/135972 |
ISSN | 2020 SCImago Journal Rankings: 0.315 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Kang, X | en_HK |
dc.contributor.author | Cheung, PYS | en_HK |
dc.contributor.author | Yau, WP | en_HK |
dc.contributor.author | Hu, Y | en_HK |
dc.date.accessioned | 2011-07-27T02:00:45Z | - |
dc.date.available | 2011-07-27T02:00:45Z | - |
dc.date.issued | 2010 | en_HK |
dc.identifier.citation | The 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, 26-29 September 2010. In Proceedings of the 17th IEEE ICIP, 2010, p. 1621-1624 | en_HK |
dc.identifier.issn | 1522-4880 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/135972 | - |
dc.description.abstract | A novel method for detecting edges and lines simultaneously and automatically is proposed. This method, based on phase congruency and tensor voting (hence PCTV), makes use of the properties of how edges and lines are built from the Fourier decomposition of an image, and how the primary visual cortex responds to them, instead of making assumptions on the intensity profiles of the regions near a feature. Experiments showed that the detection results were more consistent to the "ground truth" manually drawn by humans. For detecting edges, this method is superior to three commonly used detectors in that it reduces the production of false detections. © 2010 IEEE. | en_HK |
dc.language | eng | en_US |
dc.publisher | IEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349 | en_HK |
dc.relation.ispartof | Proceedings of the International Conference on Image Processing, ICIP 2010 | en_HK |
dc.rights | ©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.subject | Edge detection | en_HK |
dc.subject | Line detection | en_HK |
dc.subject | Phase congruency | en_HK |
dc.subject | Primary visual cortex (V1) | en_HK |
dc.subject | Tensor voting | en_HK |
dc.title | PCTV: A biologically- and psychologically-inspired edge and line detection | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Cheung, PYS:paul.cheung@hku.hk | en_HK |
dc.identifier.email | Yau, WP:peterwpy@hkucc.hku.hk | en_HK |
dc.identifier.authority | Cheung, PYS=rp00077 | en_HK |
dc.identifier.authority | Yau, WP=rp00500 | en_HK |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1109/ICIP.2010.5648890 | en_HK |
dc.identifier.scopus | eid_2-s2.0-78651071602 | en_HK |
dc.identifier.hkuros | 188653 | en_US |
dc.identifier.hkuros | 208271 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-78651071602&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.spage | 1621 | en_HK |
dc.identifier.epage | 1624 | en_HK |
dc.identifier.isi | WOS:000287728001178 | - |
dc.publisher.place | United States | en_HK |
dc.description.other | The 17th IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, 26-29 September 2010. In Proceedings of the 17th IEEE ICIP, 2010, p. 1621-1624 | - |
dc.identifier.scopusauthorid | Kang, X=36844160400 | en_HK |
dc.identifier.scopusauthorid | Cheung, PYS=7202595335 | en_HK |
dc.identifier.scopusauthorid | Yau, WP=7005822441 | en_HK |
dc.identifier.scopusauthorid | Hu, Y=36843933600 | en_HK |
dc.customcontrol.immutable | sml 170329 amended | - |
dc.identifier.issnl | 1522-4880 | - |