简介：质地图像分割基于非线性的散开被介绍。质地的规模能在非线性的散开的过程期间被测量。有保存的边的一幅光滑的5隧道向量图象，紧张镇静，可伸缩，质地的取向想象，能被联合非线性的散开完成。一个多信道的统计区域活跃轮廓被采用分割这幅向量图象。因为参数不对不同质地图象敏感，方法能被看作一种无指导的分割。试验性的结果在质地图象的半自动的抽取显示出它的高效率。

简介：ThebasicprincipleofintervalarithmeticandthebasicalgorithmoftheintervalNewtonmethodsareintroduced.Theprototypealgorithmcannotfindanyzeroinanintervalthathaszerosometimes,thatis,itisinstable.Sotheprototyperelaxationprocedureisimprovedinthispaper.Additionally,animmediatetestoftheexistenceofasolutionfollowingbranch-and-boundisproposed,whichavoidsunwantedcomputationsinthoseintervalsthathavenosolution.ThenumericalresultsdemonstratthattheimprovedintervalNewtonmethodissuperiortoprototypealgorithmintermsofsolutionquality,stabilityandconvergentspeed.

简介：Theprocessingofnonlineardatawasoneofhottopicsinsurveyingandmappingfieldinrecentyears.Asaresult,manylinearmethodsandnonlinearmethodshavebeendeveloped.Butthemethodsforprocessinggeneralizednonlinearsurveyingandmappingdata,especiallyfordifferentdatatypesandincludingunknownparameterswithrandomornonrandom,areseldomnoticed.Anewalgorithmmodelispresentedinthispaperforprocessingnonlineardynamicmultiple-periodandmultiple-accuracydataderivedfromdeformationmonitoringnetwork.