publication . Conference object . 2014

An Improved Ant Colony Matching by Using Discrete Curve Evolution

Saadi, Younes; Sari, Eka,; Herawan, Tutut;
Open Access English
  • Published: 14 Apr 2014
  • Publisher: Springer
Abstract
Part 1: Information & Communication Technology-EurAsia Conference 2014, ICT-EurAsia 2014; International audience; In this paper we present an improved Ant Colony Optimization (ACO) for contour matching, which can be used to match 2D shapes. Discrete Curve Evolution (DCE) technique is used to simplify the extracted contour. In order to find the best correspondence between shapes, the match process is formulated as a Quadratic Assignment Problem (QAP) and resolved by using Ant Colony Optimization (ACO). The experimental results justify that Discrete Curve Evolution (DCE) performs better than the previous Constant Sampling (CS) technique which has been selected for...
Subjects
acm: MathematicsofComputing_NUMERICALANALYSISComputingMethodologies_ARTIFICIALINTELLIGENCE
free text keywords: Ant Colony Optimization, Quadratic assignment problem, [INFO]Computer Science [cs], [ INFO ] Computer Science [cs], [ SHS.INFO ] Humanities and Social Sciences/Library and information sciences, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, Contour matching, Discrete curve evolution
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
publication . Conference object . 2014

An Improved Ant Colony Matching by Using Discrete Curve Evolution

Saadi, Younes; Sari, Eka,; Herawan, Tutut;