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The Automatic Thresholding Using Two dimensional Entropy Method with Genetic Algorithms(PDF)

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
1998年02期
Page:
9-12
Research Field:
Publishing date:

Info

Title:
The Automatic Thresholding Using Two dimensional Entropy Method with Genetic Algorithms
Author(s):
Lu Jianfeng  L i Shijin T ang Zhenmin Yang Jing yu
Schoo l of Informat ion, NU ST, Nanjing 210094
Keywords:
imag e processing g enet ic algo rithms threshold value 2-dimension histo gram
PACS:
TP301.6,TP14
DOI:
-
Abstract:
T he desireable resul t can be obtained w hen 2-D histo gram method is used to segment image w ith noises, but it s draw back o f high t ime complexity makes it impract ical, so it is necessar y to reduce the computatio nal t ime. T he thr esholding of 2-dimension histogr am is a quest ion of global opt imum in essence, GA is ef fect ive for this kind o f problems. T his paper proposes an algo rithm searching opt imal threshold o f 2-dimension entr opy method w ith genet ic algorithm, w hich only requires about 1/ 100 time of exhaust ive search.

References:

1 Saho o P K. A sur vey of thr esho lding technique. CVGIP. 1988, 41( 2) : 233~260
2 Br ink A D. Thr esho lding o f dig ital imag es using tw o-dimensional entr opies. Patter n Reco gnition,1992, 25( 8) : 803~808
3 张晓缋, 戴冠中, 徐乃平. 一种新的优化搜索算法—遗传算法. 控制理论与应用, 1995, 12( 3) : 265~273

Memo

Memo:
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Last Update: 2013-03-29