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基于模拟退火遗传算法的空瓶图像分割
引用本文:李玉兰,蓝慕云.基于模拟退火遗传算法的空瓶图像分割[J].现代计算机,2007(6):37-39.
作者姓名:李玉兰  蓝慕云
作者单位:[1]中山火炬职业技术学院机械工程系,中山528436 [2]华南理工大学电工电子试验中心,广州510006
摘    要:针对空瓶检测的特点,把遗传算法和模拟退火算法引入到空瓶图像分割算法中,提出了一种利用遗传算法搜索最优分割阈值方法.该方法具有遗传算法的全局寻优能力和模拟退火算法较强的局部搜索能力,能够有效、简单地进行图像分割,可以满足实时检测系统中精度和速度的要求.

关 键 词:图像分割  遗传算法  模拟退火算法  空瓶检测
修稿时间:2007-04-192007-06-03

Image Segmentation of the Empty Bottle Based on Genetic and Simulated Annealing Algorithm
LI Yu-lan,LAN Mu-yun.Image Segmentation of the Empty Bottle Based on Genetic and Simulated Annealing Algorithm[J].Modem Computer,2007(6):37-39.
Authors:LI Yu-lan  LAN Mu-yun
Affiliation:1. Department of Mechanical Engineering, Zhongshan Torch Polytechnic, Zhongshan 528436; 2. Center of Electronics Experiments, South China University of Technology, Guangzhou 510006
Abstract:Aiming at the characteristics of bottle detection, presents a modified image segmentation algorithm based on genetic and simulated annealing algorithm. This threshold Method combines global searching capability of GA with local searching capability of SA. This method with steady performance can provide a better effect on image segmentation to completely satisfy the accuracy and speed's requirements of a real-time system.
Keywords:Image Segmentation  Genetic Algorithm  Simulated Annealing Algorithm  Bottle Detection
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