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
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;
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
DOI :
10.1109/CBMI.2008.4564961