Title :
Top-down image segmentation using the Mumford-Shah functional and level set image representation
Author_Institution :
Sci. Imaging & Comput. Inst., Univ. of Utah, Salt Lake City, UT
Abstract :
A top-down image segmentation method is proposed in this paper, utilizing level set image representation and the piecewise-constant Mumford-Shah functional. The method achieves top-down hierarchical segmentation by taking advantage of the tree structure provided by level set image representation. The piecewise-constant Mumford-Shah functional is utilized in the proposed method to determine if each node in the tree segments the image. Experimental results show that this method is able to segment complicated real images.
Keywords :
functional analysis; image representation; image segmentation; piecewise constant techniques; trees (mathematics); image segmentation; level set image representation; piecewise-constant Mumford-Shah functional; top-down hierarchical segmentation; tree structure; Image processing; Image representation; Image segmentation; Level set; Merging; Minimization methods; Pixel; Process design; Shape; Tree data structures; Image segmentation; level set image representation; region merging; the Mumford-Shah functional; tree of shapes;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4959815
