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dc.contributor.authorDönmez, E. and Zadeh, P.V.
dc.date.accessioned2021-04-08T12:09:15Z
dc.date.available2021-04-08T12:09:15Z
dc.date.issued2015
dc.identifier10.1109/SIU.2015.7130203
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84939160753&doi=10.1109%2fSIU.2015.7130203&partnerID=40&md5=ca06f6b689e5c024fc7c6967db7c9def
dc.identifier.urihttp://acikerisim.bingol.edu.tr/handle/20.500.12898/4786
dc.description.abstractImage segmentation is a hard problem to solve object detection from an image before classify process. There are several techniques which are implemented with respect to what will be segmented from image. The aim of this script is extracting any leaf from its background by using segmentation techniques as possible as sufficient for identification. There is a point which has to be emphasized; the backgrounds of our leaf dataset are not white, all leaf data set backgrounds are complex nature component; such as a forest, a river, sky, and a group of mountains or etc. In this study, we have implemented several techniques to segment leaf from its background throughout our analysis, and eventually we have proposed a graph based robust segmentation process for leaf segmentation. © 2015 IEEE.
dc.language.isoEnglish
dc.source2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
dc.titleA modified graph based approach for leaf segmentation with GPGPU support


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