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Title: Image segmentation using a modified split and merge technique
Authors: Lorenzo-Navarro, Javier 
HernÁndez-Tejera, Mario 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 1994
Journal: Cybernetics and Systems 
Abstract: In this paper, a reformulation of the processes that composed the split and merge technique is proposed. A recursive split process is done first; then, after the merge process, a segmentation of the image is obtained. This is possible because the merging is implemented like a growth process, so the grouping has been eliminated. The use of a complete quadtree helps to achieve the reformulation. The determination of the region uniformity in each process is carried out with a different predicate, because of the different nature of the two processes. Experiments on a blocks world image and an industrial parts image are included to show the result of applying the algorithm.
ISSN: 0196-9722
DOI: 10.1080/01969729408902319
Source: Cybernetics and Systems [ISSN 0196-9722], v. 25, p. 137-162
Appears in Collections:Artículos
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