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A fast recursive shortest spanning tree for image segmentation and edge detection

Authors :
Kwok, S.H.
Constantinides, A.G.
Source :
IEEE Transactions on Image Processing. Feb, 1997, Vol. 6 Issue 2, p328, 5 p.
Publication Year :
1997

Abstract

The fast recursive shortest spanning tree (FRSST) algorithm achieves image segmentation and edge detection in a running time of O(n) for an image of n pixels. The region-based mapping procedure and non-requirement of a sorting process makes FRSST algorithm faster than conventional algorithms. The memory requirements also decrease by 20% or more, specifically for large size images. FRSST utilizes a spanning subtree to extend the spanning tree and makes use of updating neighboring link weights.

Details

ISSN :
10577149
Volume :
6
Issue :
2
Database :
Gale General OneFile
Journal :
IEEE Transactions on Image Processing
Publication Type :
Academic Journal
Accession number :
edsgcl.19201997