特征增強的體數據量化算法和傳輸函數設計.pdf

1、浙江大學碩士學位論文特征增強的體數據量化算法和傳輸函數設計姓名：帥軍煉申請學位級別：碩士專業(yè)：計算機應用技術指導教師：林海20120213浙江大學碩士學位論文AbstractAbstractVolumerenderingiSoneofthemainmethodsforthevisualizationofvolumedatasetandisahotspotofscientificvisualizationfieldVolumerender

2、ingCanbeappliedinmanyfields，includingmescalscience，geologicalexplorationandmeteorologyHugeamountsofdataobtainedfromthesefieldsalwaysneedtobepreprocessedforthefollowingvolumerenderingDatapreprocessingCanmakevisualizationm

3、oreeffectiveande伍cient111thispaperwepresentanovelfeature—preservingquantizationmethodwhichnotonlycompressesthesizeandrangeoforiginal32bithil曲dynamicrange(HDR)seismicdatasets，butalsopreservestheimportantseismicfeaturessuc

4、hasdetailedstructures10calrelevancestructuresandsingularitiesOurmethodfirstidentifiesthesubrangeofdetailedstructures，localrelevancestructuresandsingularitiesbybilateralfilterlocalrelevancestatistics(LRS)andothermethodsor

5、rulesAccordingtothepiecewisecoordinates，0111“featurepreservingquantizationtechniqueisconductedandthelowdynamicrange(LDR)datasetsalegeneratedTofurtherpreservethelocalcontrastandkeepthecontinuityoforiginaldatasets，Beziercu

6、rveandtonereductionareresortedtooptimizeOUrquantizationprocessAsshowninthecomparative咖dy，oarquantifiedLDRdatasetscouldbeeasilyrenderedonnormalgraphichardwares，andtherenderingresultsstillpresentandenhancethefeaturesofinte

7、restwhichfacilitatefurtherseismicinterpretationsTransferFunctiondesignisakeytechnologyinvolumerendering，alsoaprominentproblemAwell—designedtransferfunctionCalldistinguishbetweendifferentsubstancesorstructuresinthedataset

8、andfocusonregionofinterest(ROI)Throughtheanalysisofthetraditionalone—dimensionaltransferfunctionandthetwodimensionaltransferfunctionwefredmanylimitationsforseismicdataAccordingtothecharacteristicsofseismicdatawedesignthe