DocumentCode :
538072
Title :
Region-based measures for evaluation of color image segmentation
Author :
Iancu, Andreea ; Popescu, Bogdan ; Brezovan, Marius ; Ganea, Eugen
Author_Institution :
Software Eng. Dept., Univ. of Craiova, Craiova, Romania
fYear :
2010
fDate :
18-20 Oct. 2010
Firstpage :
717
Lastpage :
722
Abstract :
The present paper is aimed to compare the efficiency of a new segmentation method with several existing approaches. The paper addresses the problem of image segmentation evaluation from the error measurement point of view.We are introducing a new method of salient object recognition with very good results relative to other already known object detection methods. We developed a simple evaluation framework in order to compare the results of our method with other segmentation methods. The experimental results offer a complete basis for parallel analysis with respect to the precision of our algorithm, rather than the individual efficiency.
Keywords :
errors; image colour analysis; image segmentation; object detection; object recognition; color image segmentation; error measurement; object detection method; object recognition; parallel analysis; region based measure; Algorithm design and analysis; Image color analysis; Image edge detection; Image segmentation; Measurement uncertainty; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (IMCSIT), Proceedings of the 2010 International Multiconference on
Conference_Location :
Wisla
ISSN :
2157-5525
Print_ISBN :
978-1-4244-6432-6
Type :
conf
DOI :
10.1109/IMCSIT.2010.5679927
Filename :
5679927
Link To Document :
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