Shape detection method using improved genetic algorithm

Hiroyuki Kawanishi, Masafumi Hagiwara

Research output: Contribution to journalConference article

6 Citations (Scopus)

Abstract

A novel method to detect plural kinds of shapes such as lines, circles, ellipses, and parabolas has been proposed. It is based on improved Genetic Algorithm(GA). We have developed the following techniques to detect those shapes: 1) each chromosome is interpreted differently: each chromosome represents plural shapes; 2) detected shapes are eliminated from the original image for efficient detection; and 3) initialization of the chromosomes is carried out during the process for fast detection. We confirmed validity and superior performance of the proposed method by computer simulations.

Original languageEnglish
Pages (from-to)235-240
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume1
Publication statusPublished - 1995 Dec 1
EventProceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics. Part 2 (of 5) - Vancouver, BC, Can
Duration: 1995 Oct 221995 Oct 25

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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