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
Link To Document :
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