Title
Generating cubical complexes from image data and computation of the Euler number
Abstract
A number of tasks in image processing and computer vision require the computation of certain topological characteristics of objects in a given image. In this paper, we introduce a new method based on the notion of the algebraic topology complex to compute the Euler number of a given object. First, we attach a cubical complex to the object of interest, then we associate an algebraic structure on which a number of simplifying operations preserving the topology but not necessarily the geometric nature of the complex are possible. This is a unifying dimension independent approach. We show that the Euler number can be obtained directly from the cubical structure or one can perform a collapsing operation that allows to reduce the given image to a lower dimension structure with equivalent topological properties. This reduced structure can be used in a further process, in particular, for the computation of the Euler number.
Year
DOI
Venue
2002
10.1016/S0031-3203(01)00238-2
Pattern Recognition
Keywords
Field
DocType
Feature extraction,Algebraic topology,Cubical complex,Collapsing,Euler number
Discrete mathematics,Euler number,Algebraic topology,Pattern recognition,Algebra,Algebraic structure,Image processing,Feature extraction,Artificial intelligence,Mathematics,Computation
Journal
Volume
Issue
ISSN
35
12
0031-3203
Citations 
PageRank 
References 
11
0.80
3
Authors
2
Name
Order
Citations
PageRank
Djemel Ziou1139599.40
Madjid Allili2468.64