DocumentCode :
3100171
Title :
A fast image segmentation scheme
Author :
Kunlin, Thomas ; Lacassagne, Lionel ; Mérigot, Alain
Author_Institution :
Inst. d´´Electron. Fondamentale, Univ. Paris Sud, Orsay, France
fYear :
2004
fDate :
19-23 April 2004
Firstpage :
351
Lastpage :
352
Abstract :
The split and merge segmentation method is a well-known method to extract homogeneous regions from an image. It consists to recursively split the image in four regular quadrants until every segment is homogeneous, then to merge the obtained regions as long as the merging respects some homogeneity criterion. From the experiment results an efficient optimized HP split criterion is obtained by using scan-based implementation.
Keywords :
feature extraction; image segmentation; Horowitz Pavlidis split; image extraction; scan-based implementation; split-merge segmentation method; Computational efficiency; Data structures; Image processing; Image segmentation; Lakes; Merging; Optimization methods; Pixel; Postal services; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2004. Proceedings. 2004 International Conference on
Print_ISBN :
0-7803-8482-2
Type :
conf
DOI :
10.1109/ICTTA.2004.1307774
Filename :
1307774
Link To Document :
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