Homology Group Generator Analysis in Irregular Graph Pyramids
نویسندگان
چکیده
Computation of homology generators using an irregular graph pyramid can significantly increase performance compared to the classical methods. First results in 2D exist and show the advantages of the method. The generators are computed in upper levels of pyramid where it is known that the graphs contains a number of self loops and multiple edges product of the contraction processes. Using a straight lines strategy to draw this edges would not be useful to analyze the graphs on those levels. This paper presents a novel algorithm for nicely visualize irregular graph pyramids, including multiple edges and self loops which preserves the geometry and the topology of the original image. This new algorithm is used to give new insights about the top-down delineation of homology generators in irregular graph pyramids.
منابع مشابه
Computing Homology Group Generators of Images Using Irregular Graph Pyramids
We introduce a method for computing homology groups and their generators of a 2D image, using a hierarchical structure i.e. irregular graph pyramid. Starting from an image, a hierarchy of the image is built, by two operations that preserve homology of each region. Instead of computing homology generators in the base where the number of entities (cells) is large, we first reduce the number of ce...
متن کاملInvariant representative cocycles of cohomology generators using irregular graph pyramids
Structural pattern recognition describes and classifies data based on the relationships of features and parts. Topological invariants, like the Euler number, characterize the structure of objects of any dimension. Cohomology can provide more refined algebraic invariants to a topological space than does homology. It assigns ‘quantities’ to the chains used in homology to characterize holes of any...
متن کاملDual Contraction of Combinatorial Maps
Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Vienna University of Technology Treitlstr. 3/1832 A-1040 Vienna AUSTRIA Phone: +43 (1) 58801-18351 Fax: +43 (1) 5054668 E-mail: [email protected], [email protected] URL: http://www.prip.tuwien.ac.at/ PRIP-TR-54 January 29, 1999 Dual Contraction of Combinatorial Maps Luc Brun and Walter Kropatsch1 Abs...
متن کاملIrregular Graph Pyramids and Representative Cocycles of Cohomology Generators
Structural pattern recognition describes and classifies data based on the relationships of features and parts. Topological invariants, like the Euler number, characterize the structure of objects of any dimension. Cohomology can provide more refined algebraic invariants to a topological space than does homology. It assigns ‘quantities’ to the chains used in homology to characterize holes of any...
متن کاملEquivalent Contraction Kernels and the Domain of Dual Irregular Pyramids 1
Dual graph contraction reduces the number of vertices and of edges of a pair of dual image graphs while, at the same time, the topological relations among the 'surviving' components are preserved. Repeated application produces a stack of successively smaller graphs: a pair of dual irregular pyramids. The process is controlled by selected decimation parameters which consist of a subset of surviv...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008