Fuzzy Image Segmentation based on the hierarchical Divide and Link clustering algorithm

被引：4

作者：

Guada, Carely ^{[1
]}

Gomez, Daniel ^{[2
]}

Tinguaro Rodriguez, J. ^{[1
]}

Yanez, Javier ^{[1
]}

Montero, Javier ^{[3
]}

机构：

[1] Univ Complutense, Fac Ciencias Matemat, E-28040 Madrid, Spain

[2] Univ Complutense, Fac Estudios Estadist, E-28040 Madrid, Spain

[3] Univ Complutense, Fac Ciencias Matemat, Inst IGEO UCM CSIC UCM, E-28040 Madrid, Spain

来源：

2015 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND KNOWLEDGE ENGINEERING (ISKE) | 2015年

关键词：

Fuzzy Image Segmentation; Hierarchical Image Segmentation; image network; spanning forest; clustering;

D O I：

10.1109/ISKE.2015.89

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：12 / 17

页数：6

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