电子科技大学学报2016，Vol.45Issue(5)：819-823,859,6.DOI:10.3969/j.issn.1001-0548.2016.05.019
基于MRF的SMT焊点区域分割的研究
Research on SMT Solder Segmentation Based on MRF Frame
摘要
Abstract
Based on Markov random field (MRF) image segmentation frame, this paper presents a better partitioning algorithm for surface mount technology (SMT) solder segmentation which is the simulated annealing algorithm based on Gibbs sampling, and discusses the main factors which affect the segmentation effect. Finally this algorithm is compared with the traditional Gibbs algorithm and simulated annealing algorithm. It is shown from the experiment that the proposed algorithm only needs a few artificial interactions to reduce the sample dimensions and decrease the optimization and convergence time, and it has the fastest convergence speed to obtain the global optimization, with high segmentation success rate and accurate result. The segmentation result provides the guarantee for the further quality analysis of solder joints.关键词
Gibbs采样/图像分割/马尔可夫随机场/模拟退火/SMT焊点Key words
Gibbs sampling/image segmentation/MRF/simulated annealing/SMT solder分类
信息技术与安全科学引用本文复制引用
宋强,茹蓓,刘凌霞..基于MRF的SMT焊点区域分割的研究[J].电子科技大学学报,2016,45(5):819-823,859,6.基金项目
河南省科技攻关项目(142102210231) （142102210231）
