改进PSO-2D Otsu在连铸坯缺陷图像分割中的应用  

Application of improved PSO-2D Otsu method in continuous casting billet defect image segementation

作　　者：岑若晨 李建良[1] CEN Ruochen;LI Jianliang(School of Science,Nanjing University of Science&Technology,Nanjing 210094,China)

机构地区：[1]南京理工大学理学院,江苏南京210094

出　　处：《中国测试》2020年第4期19-24,共6页China Measurement & Test

摘　　要：为更准确有效地提取连铸钢板坯图像中的各类缺陷,通过改进标准PSO算法以优化二维Otsu的阈值选取。将二维Otsu类间方差函数作为粒子的适应度函数,根据适应度值使粒子的惯性权重自适应地优化,根据迭代次数对粒子的变异概率进行改进,提高全局寻优能力和收敛精度。最后选取连铸坯不同种类的缺陷图像进行分割实验,对比二阶振荡PSO-Otsu、二维Otsu、SPSO-二维Otsu法和改进算法的分割结果,多次实验结果表明,改进算法对各类缺陷的分割准确率和成功率分别在90%和96%以上,且算法运行快,具有较好的实用性。In order to extract various defects in the continuous cast steel slab image more accurately and effectively,the standard PSO algorithm is improved to optimize the threshold selection of two-dimensional Otsu.The 2D Otsu inter-class variance function is used as a fitness function of the particles,and the inertia weight of the particles is adaptively optimized according to the fitness value,then the variation probability of the particles is improved according to the number of iterations,and the global optimization capability and the convergence precision are also improved.The results of the segmentation of the different kinds of defect images of the continuous casting blank are compared,and the results of the segmentation of the second-order oscillating PSO-Otsu,the 2D Otsu,the SPSO-2D Otsu method and the improved algorithm are compared.The experimental results show that the segmentation accuracy and success rate of the improved algorithm are above 90%and 96%.It runs fast,and has good practicability.

关 键 词：连铸坯缺陷图像 二维OTSU法 粒子群优化 动态惯性权重 变异 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]