Texture-boundary detection in real-time
| dc.contributor.author | Hidayat, Jefferson Ray Tan | |
| dc.date.accessioned | 2010-11-28T20:56:36Z | |
| dc.date.available | 2010-11-28T20:56:36Z | |
| dc.date.issued | 2010 | en |
| dc.description.abstract | Boundary detection is an essential first-step for many computer vision applications. In practice, boundary detection is difficult because most images contain texture. Normally, texture-boundary detectors are complex, and so cannot run in real-time. On the other hand, the few texture boundary detectors that do run in real-time leave much to be desired in terms of quality. This thesis proposes two real-time texture-boundary detectors – the Variance Ridge Detector and the Texton Ridge Detector – both of which can detect high-quality texture-boundaries in real-time. The Variance Ridge Detector is able to run at 47 frames per second on 320 by 240 images, while scoring an F-measure of 0.62 (out of a theoretical maximum of 0.79) on the Berkeley segmentation dataset. The Texton Ridge Detector runs at 10 frames per second but produces slightly better results, with an F-measure score of 0.63. These objective measurements show that the two proposed texture-boundary detectors outperform all other texture-boundary detectors on either quality or speed. As boundary detection is so widely-used, this development could induce improvements to many real-time computer vision applications. | en |
| dc.identifier.uri | http://hdl.handle.net/10092/4951 | |
| dc.identifier.uri | http://dx.doi.org/10.26021/2157 | |
| dc.language.iso | en | |
| dc.publisher | University of Canterbury. Computer Science and Software Engineering | en |
| dc.relation.isreferencedby | NZCU | en |
| dc.rights | Copyright Jefferson Ray Tan Hidayat | en |
| dc.rights.uri | https://canterbury.libguides.com/rights/theses | en |
| dc.subject | computer vision | en |
| dc.subject | texture | en |
| dc.subject | boundary detection | en |
| dc.subject | segmentation | en |
| dc.subject | real-time | en |
| dc.title | Texture-boundary detection in real-time | en |
| dc.type | Theses / Dissertations | |
| thesis.degree.discipline | Computer Science | en |
| thesis.degree.grantor | University of Canterbury | en |
| thesis.degree.level | Doctoral | en |
| thesis.degree.name | Doctor of Philosophy | en |
| uc.bibnumber | 1491881 | en |
| uc.college | Faculty of Engineering | en |
Files
Original bundle
1 - 1 of 1