DocumentCode
3731380
Title
Fuzzy Image Segmentation Based on the Hierarchical Divide and Link Clustering Algorithm
Author
Carely Guada; G?mez; Rodr?guez; Y??ez;Javier Montero
Author_Institution
Fac. de Cienc. Mat., Complutense Univ., Madrid, Spain
fYear
2015
Firstpage
12
Lastpage
17
Abstract
In this paper, we present a method to obtain a Fuzzy Image Segmentation from the hierarchical clustering algorithm Divide and Link. The Divide and Link algorithm consists on treating a digital image as a graph, then building spanning forest through a Kruskal scheme to successively sort the edges while partitions are obtained. This process is driven until all the pixels of the image are segmented, that is, there are as many regions as pixels.
Keywords
"Image segmentation","Image edge detection","Clustering algorithms","Partitioning algorithms","Digital images","Gray-scale","Image color analysis"
Publisher
ieee
Conference_Titel
Intelligent Systems and Knowledge Engineering (ISKE), 2015 10th International Conference on
Type
conf
DOI
10.1109/ISKE.2015.89
Filename
7383017
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