DocumentCode :
1811422
Title :
A study for selecting a metric for a first level evaluation of image segmentation methods
Author :
Bourbakis, N. ; Tsitsoulis, A.
Author_Institution :
ATRC, Wright State Univ., Dayton, OH, USA
fYear :
2011
fDate :
20-22 July 2011
Firstpage :
276
Lastpage :
279
Abstract :
Image segmentation is one of the first important parts of the image analysis and understanding. Theo Pavlidis initially introduced it in late 60s, and since then researchers have studied it and produced a great variety of algorithms. These algorithms provide segmentation results that could be characterized from “objective”, like Pavlidis segmentation to “subjective” ones dependent on the interpretation of the human user. In this paper we attempt to initiate a first stage evaluation of color image segmentation methodologies by proposing a simple segmentation metric. In particular, we have used three segmentation algorithms on different types of images (human faces/bodies, natural environments, and structures (buildings)). Then we apply the metric (formula) on these segmented results in order to quickly observe and evaluate the performance (behavior) of each segmentation methodology.
Keywords :
image colour analysis; image segmentation; Pavlidis segmentation; color image segmentation; first level evaluation; human faces; human user; image analysis; natural environments; segmentation metric; Three dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference (NAECON), Proceedings of the 2011 IEEE National
Conference_Location :
Dayton, OH
ISSN :
0547-3578
Print_ISBN :
978-1-4577-1040-7
Type :
conf
DOI :
10.1109/NAECON.2011.6183114
Filename :
6183114
Link To Document :
بازگشت