DocumentCode :
2732757
Title :
Road extraction using K-Means clustering and morphological operations
Author :
Maurya, Rohit ; Gupta, P.R. ; Shukla, Ajay Shankar
Author_Institution :
CDAC, Noida, India
fYear :
2011
fDate :
3-5 Nov. 2011
Firstpage :
1
Lastpage :
6
Abstract :
In this paper we proposed the method for road extraction. The road extraction involves the two main steps: the detection of road that might have the other non road parts like buildings and parking lots followed by morphological operations to remove the non road parts based on their features. We used the K-Means clustering to detect the road area and may be some non road area. Morphological operations are used to remove the non road area based on the assumptions that road regions are an elongated area that has largest connected component.
Keywords :
feature extraction; image segmentation; mathematical morphology; object detection; pattern clustering; roads; digital image; image segmentation; k-means clustering; morphological operation; nonroad area detection; road extraction; Buildings; Clustering algorithms; Data mining; Feature extraction; Image segmentation; Information processing; Roads; K-Means clustering; morphological operations; road extraction; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Information Processing (ICIIP), 2011 International Conference on
Conference_Location :
Himachal Pradesh
Print_ISBN :
978-1-61284-859-4
Type :
conf
DOI :
10.1109/ICIIP.2011.6108839
Filename :
6108839
Link To Document :
بازگشت