Title :
A modified graph based approach for leaf segmentation with GPGPU support
Author :
Donmez, Emrah ; Zadeh, Payam Vakil
Author_Institution :
Comput. Sci. Dept., Bingol Univ., Bingol, Turkey
Abstract :
Image 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.
Keywords :
graph theory; image segmentation; object detection; GPGPU support; graph based robust segmentation process; image segmentation; leaf segmentation; modified graph based approach; object detection; Acceleration; Electronic publishing; Hardware; Image edge detection; Image segmentation; Information services; Lead; Segmentation; complex component; graph based;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130203