DocumentCode :
3768209
Title :
Different techniques for satellite image segmentation
Author :
N P Deepika;K Vishnu
Author_Institution :
Department of Computer Science and Engineering, Cochin College of Engineering and Technology, Malappuram, Kerala
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
Image Segmentation is one of the emerging trends in the field of image processing. It has found applications in the field of medical applications, satellite imagery etc. Image segmentation helps in segmenting the images into sub regions which are of our interest which can be analyzed individually. Satellite imagery is one of the wide areas in segmentation. This paper proposes three techniques such as K-means Clustering, Thresholding Technique and Active Contours for satellite image segmentation and evaluate the best method in satellite image segmentation using various performance parameters like Segmentation Accuracy, Correlation Ratio.
Keywords :
"Image segmentation","Active contours","Satellites","Correlation","Image color analysis","Clustering methods","Entropy"
Publisher :
ieee
Conference_Titel :
Green Engineering and Technologies (IC-GET), 2015 Online International Conference on
Type :
conf
DOI :
10.1109/GET.2015.7453836
Filename :
7453836
Link To Document :
بازگشت