Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/2318
DC FieldValueLanguage
dc.contributor.authorSiu, Wan Chien_US
dc.contributor.otherWu, H.-
dc.date.accessioned2022-02-18T04:15:25Z-
dc.date.available2022-02-18T04:15:25Z-
dc.date.issued2015-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/2318-
dc.description.abstractRail extraction is a fundamental and important step in railway Driver Assistant System, which is now an important application of image processing. The task is challenging as the railway is exposed to different environments. This paper proposes a railway extraction scheme, using a novel connectivity measure method named Angle Alignment Measure. The proposed scheme is robust to luminance and color variation, without edge extraction process. Railways with different lengths and patterns can be extracted under various lighting and weather conditions. More importantly, the computation complexity of the proposed scheme is very low, requiring only on average 25ms to process a frame on smart phone and 5ms on desktop computer, which are significantly better than algorithms in the literature.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleReal time railway extraction by angle alignment measureen_US
dc.typeconference proceedingsen_US
dc.relation.publicationProceedings of 2015 IEEE International Conference on Image Processing (ICIP)en_US
dc.identifier.doi10.1109/ICIP.2015.7351670-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.isbn9781479983407en_US
dc.description.startpage4560en_US
dc.description.endpage4564en_US
dc.cihe.affiliatedNo-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
item.openairetypeconference proceedings-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
crisitem.author.deptSchool of Computing and Information Sciences-
crisitem.author.orcid0000-0001-8280-0367-
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