华东师范大学学报(自然科学版) ›› 2007, Vol. 2007 ›› Issue (3): 93-99.

• 计算机科学 • 上一篇    下一篇

图像增强技术中的智能算法

宋娟，全惠云   

  1. 湖南师范大学 数学与计算机学院，长沙 410081
  • 收稿日期:2006-05-30 修回日期:2006-10-09 出版日期:2007-05-25 发布日期:2007-05-25
  • 通讯作者: 全惠云

Intelligent Algorithm in Image Enhancement Technology (Chinese)

SONG Juan， QUAN Hui-yun   

  1. School of Mathematics and Computer Science,Hunan Normal University,Changsha 410081,China
  • Received:2006-05-30 Revised:2006-10-09 Online:2007-05-25 Published:2007-05-25
  • Contact: QUAN Hui-yun

摘要： 提出了一种基于粒子群与模拟退火算法相结合的进化算法.该算法利用模拟退火算法全局收敛性好和粒子群算法收敛速度快等优点，通过交换这两种算法的信息得到最优解.将这种新算法应用于灰度图像的自适应增强，实例计算表明该算法稳定性好，在收敛速度和求解精度方面都优于遗传算法等一些其它进化算法.

关键词: 粒子群, 模拟退火算法, 图像增强, 遗传算法, 粒子群, 模拟退火算法, 图像增强, 遗传算法

Abstract: This paper proposed a novel cooperative evolutionary algorithm based on
simulated annealing algorithm(SA)and particle swarm optimization(PSO). This new method utilizes the global convergence property of SA and the
facility of realization of PSO, and attains an optimal solution by means of
the information exchanges of these two kinds of algorithms. Results of
experiments showed that the proposed algorithm performs better in
convergence speed and precision of solutions than GA,PSO and SA.

Key words: simulated annealing, image enhancement, genetic algorithm, particle swarm optimization, simulated annealing, image enhancement, genetic algorithm

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