DocumentCode :
3649634
Title :
Quality Measurement of Image Segmentation Evaluation Methods
Author :
Stépan Srubar
Author_Institution :
Dept. of Comput. Sci., VSB-Tech. Univ. of Ostrava, Ostrava-Poruba, Czech Republic
fYear :
2012
Firstpage :
254
Lastpage :
258
Abstract :
Segmentation of images plays a significant role in image processing. For evaluating the quality of segmentation, several methods based on different approaches have been proposed. The essential question, therefore, arises how the quality of these evaluation methods can be compared. In this paper, we evaluate the quality of some published methods using a new methodology. We also present the results of such a comparison.
Keywords :
"Image segmentation","Error analysis","Image color analysis","Image resolution","Color","Noise","Gray-scale"
Publisher :
ieee
Conference_Titel :
Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on
Print_ISBN :
978-1-4673-5152-2
Type :
conf
DOI :
10.1109/SITIS.2012.45
Filename :
6395103
Link To Document :
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