This　paper　proposes　an　adaptive　separation　method　based　on　dual　tree　complex　wavelet　transform　(DT-CWT)　according　to　the　polished　spherical　precision　optics　surface　characteristics.　DT-CWT　exhibited　shift　invariance　superiority,　directional　selectivity　and　limited　redundancy,　and　we　intensified　its　distinguishing　ability　by　introducing　the　adaptive　impact　factor　during　refactoring.　Finally,　we　separated　various　surface　components　of　the　measured　polishing　optical　surfaces　effectively　and　characterized　their　parameters.　Experiments　showed　that　the　DT-CWT　adaptive　separation　method　was　more　effective　in　separation　and　more　convenient　for　subsequent　identification　and　assessment　work,　compared　with　the　DT-CWT　direct　separation　method.　©　2017,　Editorial　Department　of　JVMD.　All　right　reserved.