Analytic curve detection from a noisy binary edge map using genetic algorithm

Samarjit Chakraborty, Kalyanmoy Deb

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Currently Hough transform and its variants are the most common methods for detecting analytic curves from a binary edge image. However, these methods do not scale well when applied to complex noisy images where correct data is very small compared to the amount of incorrect data. We propose a Genetic Algorithm in combination with the Randomized Hough Transform, along with a different scoring function, to deal with such environments. This approach is also an improvement over random search and in contrast to standard Hough transform algorithms, is not limited to simple curves like straight line or circle.

Original languageEnglish
Title of host publicationParallel Problem Solving from Nature, PPSN 1998 - 5th International Conference, Proceedings
PublisherSpringer Verlag
Pages129-138
Number of pages10
ISBN (Print)3540650784, 9783540650782
DOIs
StatePublished - 1998
Externally publishedYes
Event5th International Conference on Parallel Problem Solving from Nature, PPSN 1998 - Amsterdam, Netherlands
Duration: 27 Sep 199830 Sep 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1498 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Parallel Problem Solving from Nature, PPSN 1998
Country/TerritoryNetherlands
CityAmsterdam
Period27/09/9830/09/98

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