dc.contributor.author | Budak, Umit | |
dc.contributor.author | Guo, Yanhui | |
dc.contributor.author | Sengur, Abdulkadir | |
dc.contributor.author | Smarandache, Florentin | |
dc.date.accessioned | 2021-12-16T09:07:21Z | |
dc.date.available | 2021-12-16T09:07:21Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 2075-1680 | |
dc.identifier.uri | https://doi.org/10.3390/axioms6040035 | |
dc.identifier.uri | http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10330 | |
dc.description.abstract | Hough transform (HT) is a useful tool for both pattern recognition and image processing communities. In the view of pattern recognition, it can extract unique features for description of various shapes, such as lines, circles, ellipses, and etc. In the vi | |
dc.language.iso | English | |
dc.publisher | Mdpı Ag | |
dc.rights | Green Submitted, gold, Green Published | |
dc.source | Axıoms | |
dc.title | Neutrosophic Hough Transform | |
dc.type | Article | |
dc.identifier.issue | 4 | |
dc.identifier.doi | 10.3390/axioms6040035 | |
dc.identifier.wos | WOS:000419181300009 | |
dc.identifier.volume | 6 | |