DocumentCode :
3646283
Title :
Automatic segmentation and impact for retrieval images
Author :
Miroslav Frič;Patrik Kamencay;Peter Lukac
Author_Institution :
Department of Telecommunications and Multimedia, University of Zilina, Zilina, Slovakia
fYear :
2011
Firstpage :
1
Lastpage :
5
Abstract :
This paper deals about retrieval images based on the content and image segmentation process such as very important step of image analysis and image processing. In present, the image processing and analyzing is still rapidly growing area of research. Image segmentation is the operation that divides image into set of different segments. We present a different type of image segmentation and impact quality of segmentation for retrieval images. Three type of image segmentation was presented. In this case Mean shift, K-means and Graph based segmentation. All experiment was done on international database ETHZ Shape classes. The experiments are showed that Graph based segmentation method is good for retrieval simple shapes from real images.
Keywords :
"Image segmentation","Shape","Vectors","Clustering algorithms","Image retrieval","Algorithm design and analysis","Image color analysis"
Publisher :
ieee
Conference_Titel :
Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA), 2011
Print_ISBN :
978-1-4577-1486-3
Type :
conf
Filename :
6190932
Link To Document :
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