A　stereo　light　microscope　has　a　special　optical　structure　that　consists　of　two　optical　paths.　With　two　cameras　fitted　on　its　imaging　planes,　a　microscopic　binocular　vision　system　can　be　constructed,　and　this　system　can　be　applied　in　three-dimensional　(3D)　shape　measurements　of　a　microscopic　object.　A　novel-shape　reconstruction　system　is　developed　in　this　article　composed　of　laser　fringe　scanning　and　a　stereo　light　microscope.　A　laser　projector　emits　a　thin　light　sheet　and　projects　it　onto　the　microscopic　object＇s　surface.　The　microscopic　object　is　placed　on　a　micro-displacement　mechanism　and　moved　in　a　given　direction.　The　entire　surface　of　the　object　is　scanned　by　the　light　sheet.　This　system　captures　a　series　of　microscopic　images　of　the　laser　stripe,　which　are　used　to　restore　the　3D　shape　of　the　object.　In　this　article,　we　mainly　focus　on　the　study　of　the　laser　stripe　detection　method,　which　is　derived　based　on　the　Canny　rule.　First,　the　Canny　rule　outputs　pixels　at　the　left　and　right　edges　of　the　laser　stripe.　Then,　a　subpixel　edge　extraction　method　is　proposed　based　on　polynomial　fitting　that　outputs　the　center　curve　of　the　laser　stripe.　Finally,　an　edge　filter　is　used　to　smooth　the　edge　burrs,　and　the　Hermite　interpolation　method　is　used　to　link　the　broken　edges　and　construct　continuous,　smoothing　edge　contours.　The　results　show　that　this　method　can　effectively　find　the　subpixel　position　of　the　laser　stripe　and　output　high-quality　edge　contours.　The　method　is　suitable　for　extracting　the　contours　of　a　laser　stripe　located　in　a　microscope　image.