DocumentCode :
2803937
Title :
Hierarchical multiscale image segmentation
Author :
Silva, Karinne S. ; Lima, Gilson G. ; Medeiros, Fátima N S
Author_Institution :
Fed. Univ. of Ceara, Fortaleza-CE
fYear :
2006
fDate :
3-6 Sept. 2006
Firstpage :
749
Lastpage :
753
Abstract :
We present a new image segmentation algorithm by developing a hierarchical tree through a non-linear scale-space approach. Aiming at preserving edges better than the Gaussian blurring, this segmentation process is accomplished in three stages. Our method starts creating a scale-space from the original image and a whole family of blurred images is generated using a modified version of the wavelet a trous algorithm. In the following steps, the hierarchical tree of blurred images is built and the linking procedure is performed so that the segmentation process is concluded. Experiments show that the proposed method works quite satisfactory and produces good results.
Keywords :
image segmentation; trees (mathematics); blurred images; hierarchical image segmentation; hierarchical tree; multiscale image segmentation; nonlinear scale-space approach; wavelet a trous algorithm; Buildings; Couplings; Image analysis; Image edge detection; Image generation; Image segmentation; Information processing; Joining processes; Labeling; Pixel; Scale-Space; edge detection; hierarchical tree; unsupervised segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications Symposium, 2006 International
Conference_Location :
Fortaleza, Ceara
Print_ISBN :
978-85-89748-04-9
Electronic_ISBN :
978-85-89748-04-9
Type :
conf
DOI :
10.1109/ITS.2006.4433372
Filename :
4433372
Link To Document :
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