Microscopic　vision　systems　based　on　a　stereo　light　microscope　(SLM)　are　used　in　microscopic　measuring　fields.　Conventional　measuring　methods　output　the　disparity　surface　based　on　stereo　matching　methods;　however,　these　methods　require　that　stereo　images　contain　sufficient　distinguishing　features.　Moreover,　matching　results　typically　contain　many　mismatched　points.　This　paper　presents　a　novel　method　for　disparity　surface　reconstruction　by　combining　an　SLM　and　laser　measuring　techniques.　The　surfaces　of　small　objects　are　scanned　by　a　laser　fringe,　and　a　stereo　image　sequence　containing　laser　stripes　is　obtained.　The　central　contours　of　the　laser　stripes　are　extracted,　and　central　contours　are　derived　for　alignment.　A　disparity　coordinate　system　is　then　defined　and　used　to　analyze　the　relationship　between　the　motion　direction　and　reference　plane.　Next,　the　method　of　aligning　disparity　contours　is　proposed.　The　results　show　that　our　method　can　achieve　a　precision　of　+/-　0.5　pixels　and　that　the　real　and　measured　shapes　described　by　the　disparity　surface　are　consistent　based　on　our　method.　Our　method　is　confirmed　to　perform　much　better　than　the　conventional　block-matching　method.　The　disparity　surface　output　obtained　by　our　method　can　be　used　to　measure　the　surface　profiles　of　microscopic　objects　accurately.