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改进的遗传算法在Canny算子阈值选取中的应用
引用本文:董昱,高云波,刘翔.改进的遗传算法在Canny算子阈值选取中的应用[J].兰州铁道学院学报,2014(6):1-5.
作者姓名:董昱  高云波  刘翔
作者单位:兰州交通大学 自动化与电气工程学院,甘肃 兰州,730070
摘    要:Canny算子因其信噪比高、定位准确以及单边响应的优势,常常用于图像的边缘检测,而双阈值检测中阈值的选取会影响图像边缘提取的效果,为了获得边缘检测的最佳阈值,引入了一种改进的遗传算法.该方法从遗传算子和操作策略两个方面对基本遗传算法作出改进,重点设计了种群进化的适应度函数,使用该方法确定图像边缘连接的最佳阈值,以获得图像的边缘检测效果图.仿真结果表明:采用改进的遗传算法确定的阈值所得到的图像,边缘细节丰富,定位准确.

关 键 词:边缘检测  Canny算子  遗传算法  适应度函数

Application of the Improved Genetic Algorithm in Threshold Selection of Canny Operator
DONG Yu,GAO Yun-bo,LIU Xiang.Application of the Improved Genetic Algorithm in Threshold Selection of Canny Operator[J].Journal of Lanzhou Railway University,2014(6):1-5.
Authors:DONG Yu  GAO Yun-bo  LIU Xiang
Institution:(School of Automation N- Electrical Engineering, l.anz.hou Jiaotong University, l.anzhou 730070, China)
Abstract:Due to the advantages of high signal-to-noise ratio,accurate positioning and unilateral response,the canny operator is used in image edge detection,and the threshold of double threshold detection can affect the image edge extraction effect.In order to acquire the best threshold,an improved genetic algorithm is adopted.The basic genetic algorithm is improved from two aspects of genetic operators and operating strategy,focusing on the fitness function design of the population evolution,which is used to determine the best threshold of image edge connection,so that the image edge detection effect is obtained.Results show that the threshold determined by the improved genetic algorithm is used to image edge detection,which can obtain more details and accurate positioning.
Keywords:edge detection  Canny operator  genetic algorithm  fitness function
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