Journal ArticleDOI
Matching structural shape descriptions using genetic algorithms
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TLDR
A complete framework for an object recognition system using this genetic algorithm and a new variation of the crossover operator, called the color crossover, is presented, which has resulted in significant improvement in runtime and algorithm efficiency.About:
This article is published in Pattern Recognition.The article was published on 1997-09-01. It has received 51 citations till now. The article focuses on the topics: Crossover & Genetic operator.read more
Citations
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Journal ArticleDOI
CIXL2: a crossover operator for evolutionary algorithms based on population features
TL;DR: A crossover operator for evolutionary algorithms with real values that is based on the statistical theory of population distributions that takes into account the localization and dispersion features of the best individuals of the population with the objective that these features would be inherited by the offspring.
Journal ArticleDOI
Inexact graph matching by means of estimation of distribution algorithms
TL;DR: Two adaptations of the EDA approach to problems with constraints are described as two techniques to control the generation of individuals, and the performance of EDAs for inexact graph matching is compared with the one of GAs.
Journal ArticleDOI
Image Analysis and Computer Vision
TL;DR: A bibliography of nearly 1700 references related to computer vision and image analysis, arranged by subject matter is presented, including computational techniques; feature detection and segmentation; image and scene analysis; two-dimensional shape; pattern; color and texture; matching and stereo.
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Towards the unification of structural and statistical pattern recognition
Horst Bunke,Kaspar Riesen +1 more
TL;DR: An experimental evaluation shows the novel procedures are more powerful than approaches from the early period when it comes to bridging the gap between structural and statistical pattern recognition.
Journal ArticleDOI
Polygonal approximation using genetic algorithms
Shu-Chien Huang,Yung-Nien Sun +1 more
TL;DR: The proposed polygon approximation method when compared with three existing methods can obtain superior approximation results with less error norm with respect to the original curves.
References
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Book
Handbook of Genetic Algorithms
TL;DR: This book sets out to explain what genetic algorithms are and how they can be used to solve real-world problems, and introduces the fundamental genetic algorithm (GA), and shows how the basic technique may be applied to a very simple numerical optimisation problem.
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A distance measure between attributed relational graphs for pattern recognition
Alberto Sanfeliu,King-Sun Fu +1 more
TL;DR: A method to determine a distance measure between two nonhierarchical attributed relational graphs is presented and an application of this distance measure to the recognition of lower case handwritten English characters is presented.
Journal ArticleDOI
Model-based recognition in robot vision
Roland T. Chin,Charles R. Dyer +1 more
TL;DR: This paper presents a comparative study and survey of model-based object-recognition algorithms for robot vision, and an evaluation and comparison of existing industrial part- recognition systems and algorithms is given, providing insights for progress toward future robot vision systems.
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Navigation and mapping in large-scale space
TL;DR: It is proposed that robust navigation and mapping systems for large- scale space can be developed by adhering to a natural, four-level semantic hierarchy of descriptions for representation, planning, and execution of plans in large-scale space.
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The development and evaluation of an improved genetic algorithm based on migration and artificial selection
TL;DR: Experimental results show that GAMAS consistently outperforms simple genetic algorithms and alleviates the problem of premature convergence.