Result: An approximation of the K-function for the study of binary images

Title:
An approximation of the K-function for the study of binary images
Authors:
Ayala Gallego, Guillermo, Simó Vidal, Amelia
Publisher Information:
Institut d'estadística de Catalunya
Publication Year:
1993
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Subject Terms:
Geometry, Boolean model, K-function, Reduced moment measure, Image analysis, Aproximació, Teoria de l', Classificació AMS::65 Numerical analysis::65D Numerical approximation and computational geometry
Document Type:
Academic journal article in journal/newspaper
File Description:
10 p.; application/pdf
Language:
English
Relation:
http://hdl.handle.net/2099/4703
Availability:
http://hdl.handle.net/2099/4703
Rights:
Attribution-NonCommercial-NoDerivs 2.5 Spain ; http://creativecommons.org/licenses/by-nc-nd/2.5/es/ ; Open Access
Accession Number:
edsbas.BD758A45
Database:
BASE

Further Information

Jensen et al. (1990) gave an exact expression for the K-function in non-overlapping Boolean models. The present study proposes and evaluates an approximate expression for the K-function in overlapping isotropic Boolean models based on an approximation of the covariogram of the primary grain. We study the suitability of a Boolean model for two binary images using this approximate expression.