计算技术与自动化2018，Vol.37Issue(1)：51-54,4.DOI:10.16339/j.cnki.jsjsyzdh.201801011
一种高配准率的基于隔行隔列的序贯相似性检测算法
A High Rate of Registration of the Sequential Similarity Detection Algorithm Based on Interlaced Every Column
摘要
Abstract
The paper deals with the images by using the method of peak signal-to-noise ratio,universe quality index, mean structure similarity index measure and sequential similarity detection algorithm based on interlaced every column.Then by the method of nonlinear clarification,we can purify the picture further.We should also observe the distribution of the noise in the frequency spectrum.According to the distribution of the noise point in the frequency spectrum,we can choose the proper filter to filter out the noise in the images.By comparison with the experimental results,the sequential similarity detection algorithm based on interlaced every column can effectively reduce the noise.At the same time,it can improve the accuracy of the image and get the better motivation effect.关键词
视觉感觉模型/图片的差异值/图片的特征值分解/非线性处理/模板匹配Key words
visual perception model/difference between the pictures/singular value decomposition/nonlinear processing/matching model of the template分类
信息技术与安全科学引用本文复制引用
丁家琳..一种高配准率的基于隔行隔列的序贯相似性检测算法[J].计算技术与自动化,2018,37(1):51-54,4.基金项目
科技部基础条件平台国家气象网络计算应用系统建设项目(2005DKA64000) （2005DKA64000）
