AutoCAD辅助设计技巧初探--非矩形视口、区域覆盖和动态块的应用

1 前言 AutoCAD辅助设计在现今船舶设计中已经普及,对于使用者来说,AutoCAD早已不仅仅是代替当初的纸和笔那么简单。随着Autodesk公司对产品的升级,在使用过程中,越来越多的人性化设计和新功能的出现,使得绘图和设计变得更加方便、快捷和高效。本文结合轮机     

基于成都市中心城区暴雨强度公式修订的暴雨样本优选研究

成都市中心城区暴雨强度公式修订工作完成于2015年,因国家监测站成都站2004年改址,该站点缺少近十年的降雨记录,而位于中心城区的其它三个区域气象监测站均有自2005年以来的完整降雨资料.现以国家监测站成都站暴雨样本为基础,通过对成都市中心城区与周边区域的降雨特性相关性分析,叠加降水特性变化相似区域降雨统计的类比分析,优选出了成都市中心城区暴雨强度公式修编的暴雨样本.论证结果表明国家监测站成都站续接金牛区税务局气象站的暴雨样本能较好地代表成都市区的降水规律,为成都市中心城区暴雨强度公式修编的最优暴雨样本.该方法对类似情况的暴雨样本选取具有一定的借鉴意义.     

Mutual information optimization based dynamic log-polar image registration

Log-polar transformation(LPT)is widely used in image registration due to its scale and rotation invariant properties.Through LPT,rotation and scale transformation can be made into translation displacement in log-polar coordinates,and phase correlation technique can be used to get the displacement.In LPT based image registration,constant samples in digitalization processing produce less precise and effective results.Thus,dynamic log-polar transformation(DLPT)is used in this paper.DLPT is a method that generates several sample sets in axes to produce several results and only the effective results are used to get the final results by using statistical approach.Therefore,DLPT can get more precise and effective transformation results than the conventional LPT.Mutual information(MI)is a similarity measure to align two images and has been used in image registration for a long time.An optimal transform for image registration can be obtained by maximizing MI between the two images.Image registration based on MI is robust in noisy,occlusion and illumination changing circumstance.In this paper,we study image registration using MI and DLPT.Experiments with digitalizing images and with real image datasets are performed,and the experimental results show that the combination of MI with DLPT is an effective and precise method for image registration.