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