Adaptive image segmentation system
作者： John C. Ming , Sungkee Lee , Bir Bhanu
DOI:
关键词:
摘要: An adaptive segmentation system that utilizes a genetic algorithm in image segmentation. The incorporates closed-loop feedback mechanism the segmentation/learning cycle. can adapt to changes appearing images being segmented, caused by variations of such factors as time and weather. Adaptation is achieved with measure based on differences analyzed past imagery current criteria for quality. invention not dependent any particular or specific sensor type.
google.co.in 参考文章(8)
Oleg Feldgajer, Universal character segmentation scheme for multifont OCR images ,(1988)
Bahram A. Parvin, Target recognition using string-to-string matching ,(1987)
John H. Holland, Arthur W. Burks, Adaptive computing system capable of learning and discovery ,(1984)
Andrew M. Gillies, Machine learning procedures for generating image domain feature detector structuring elements ,(1986)
Ennio Mingolla, Stephen Grossberg, Neural networks for machine vision ,(1987)
James R. Sullivan, Image processing method including image segmentation ,(1985)
G. E. Liepins, M. R. Hilliard, Genetic algorithms: Foundations and applications Annals of Operations Research. ,vol. 21, pp. 31- 57 ,(1989) , 10.1007/BF02022092
A.D. McAulay, J.C. Oh, Image learning classifier system using genetic algorithms national aerospace and electronics conference. pp. 705- 710 ,(1989) , 10.1109/NAECON.1989.40288