| [Conf 1] | Obtaining Highly Localized Edges using Phase Congruency and Ridge Detection |
 | Author(s): Fagadar Cosma, Mihai; Micea, Mihai Victor; Cretu, Vladimir Ioan In: Proceedings of the IEEE International Joint Conferences on Computational Cybernetics and Technical Informatics, ICCC-CONTI 2010 Editor(s): Fodor, Janos; Prostean, Octavian Publisher: Politehnica University of Timisoara and Obuda University, Budapest Timisoara, Romania, 27-29 May. 2010 Pages: 339 - 342, CD-ROM support, ISBN 978-1-4244-7431-8, DOI: 10.1109/ICCCYB.2010.5491252 Indexed: IEEE Xplore, IEEE |
| [+] Keywords | [+] Abstract | Cover picture | Conference guide Image feature extraction; Edge localization; Phase congruency; Ridge detection Edge localization is an important factor when choosing between various image feature extraction techniques. Lesser edge displacement means more accurate results, and this is the aim of most edge detectors. We present a novel algorithm for obtaining highly localized edges from grayscale images, based on an analogy between phase congruency maps and digital elevation models. In the first step, phase congruency is used to obtain an initial edge map, which is then processed in a second step by a modified ridge-detection algorithm in order to obtain an increased edge localization. |
| 1 | Citations in total (with a cummulated IF: 3.406) |
| [Jrnl 1] Jrnl | Yuming Xiang, Feng Wang, Ling Wan, Hongjian You, "SAR-PC: Edge Detection in SAR Images via an Advanced Phase Congruency Model", Remote Sensing, volume 9, issue 3, MDPI AG., Basel, Switzerland, Mar., 2017, pp. (209 - 232), ISSN 2072-4292, DOI: 10.3390/rs9030209. [Indexed: ISI Web of Science, Thomson Reuters]. [IF: 3.406]. |
