DocumentCode :
2725595
Title :
An Improved Region Growing Method for Segmentation
Author :
Li, Xingyi ; Lu, Lianqing
Author_Institution :
Sch. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ. Zhenjiang, Zhenjiang, China
fYear :
2012
fDate :
11-13 Aug. 2012
Firstpage :
2313
Lastpage :
2316
Abstract :
This paper presents an improved region growing method. Firstly, the automatic seed region growing method is used in this paper to overcome the blindness for selecting the seed pixels. Secondly, the Normalized Cut (N-cut) method is used between the regions to overcome the disadvantage of the region growing without meaningful regions. Finally, the final image segmentation is obtained. The experimental results show that our method can produce good results as favorably compared to some existing algorthms and it is an effective method for image segmentation.
Keywords :
image segmentation; automatic seed region growing method; image segmentation; normalized cut method; Blindness; Computer science; Educational institutions; Image edge detection; Image segmentation; Standards; Transforms; N-cut; image segmentation; region growing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
Type :
conf
DOI :
10.1109/CSSS.2012.574
Filename :
6394892
Link To Document :
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