DocumentCode
2139950
Title
Wavelet domain binary partition trees for image segmentation
Author
Ghanbari, Shirin ; Woods, John C. ; Rabiee, Hamid R. ; Lucas, Simon M.
Author_Institution
Dept. of Comput. & Electron. Syst., Essex Univ., Colchester
fYear
2008
fDate
18-20 June 2008
Firstpage
302
Lastpage
307
Abstract
When performing segmentation using tree based representations it is evident that contiguous objects are often dispersed widely across the tree making controlled selection difficult. This paper demonstrates robust segmentation by the generation of binary partition trees entirely within the wavelet domain. By using spatial frequency in conjunction with colour, a threshold free tree is produced which compels objects to reside inside single branches of the tree by constraining their merging development. Experimental results show the superior performance of the proposed algorithm compared to the existing colour based BPT algorithms.
Keywords
image colour analysis; image representation; image segmentation; trees (mathematics); wavelet transforms; image segmentation; spatial frequency; threshold free tree; tree based representations; wavelet domain binary partition trees; Aggregates; Animals; Frequency; Image segmentation; Lighting; Merging; Partitioning algorithms; Pixel; Shadow mapping; Wavelet domain; Binary Partition Tree; Image-segmentation; Wavelet; quality measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Content-Based Multimedia Indexing, 2008. CBMI 2008. International Workshop on
Conference_Location
London
Print_ISBN
978-1-4244-2043-8
Electronic_ISBN
978-1-4244-2044-5
Type
conf
DOI
10.1109/CBMI.2008.4564961
Filename
4564961
Link To Document