Combinatorics and image processing

被引:15
作者
Bretto, A
Azema, J
Cherifi, H
Laget, B
机构
[1] Lab. Traitement du Sign. et Instrum., Equipe d'Ingenierie de la Vis., Site GIAT Industries, 42007 Saint-Etienne Cedex 1, 3, rue Javelin Pagnon
来源
GRAPHICAL MODELS AND IMAGE PROCESSING | 1997年 / 59卷 / 05期
关键词
D O I
10.1006/gmip.1997.0437
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper, we introduce an image combinatorial model based on hypergraph theory, Hypergraph theory is an efficient formal frame for developing image processing applications such as segmentation. Under the assumption that a hypergraph satisfies the Helly property, we develop a segmentation algorithm that partitions the image by inspecting packets of pixels. This process is controlled by a homogeneity criterion, We also present a preprocessing algorithm that ensures that the hypergraph associated with any image satisfies the Helly property, We show that the algorithm is convergent, A performance analysis of the model and of the segmentation algorithm is included. (C) 1997 Academic Press.
引用
收藏
页码:265 / 277
页数:13
相关论文
共 37 条
[1]  
ADELI H, 1994, MACH LEARNING NEURON
[2]  
[Anonymous], 1982, DIGITAL IMAGE PROCES
[3]  
[Anonymous], 1994, COMPUTATIONAL GEOMET
[4]   DISMANTLING ABSOLUTE RETRACTS OF REFLEXIVE GRAPHS [J].
BANDELT, HJ ;
PESCH, E .
EUROPEAN JOURNAL OF COMBINATORICS, 1989, 10 (03) :211-220
[5]  
BERGE C, 1979, SE ASIAN MATH SOC B, V1, P16
[6]  
Berge C, 1985, GRAPHS
[7]  
BERGE C, 1987, HYPERGRAPHS
[8]  
BOUMAN CA, 1994, PR, V27, P162
[9]  
BRETTO A, 1994, SIGNAL PROCESS, V2
[10]  
BRETTO A, 1994, THESIS U SAINT ETIEN