Existing　immunofluorescence　chromatographic　quantitative　detection　technology　methods　are　mostly　based　on　photoelectric　reflex　method.　High　precision　for　the　strip　position,　and　complex　strip　transmission　unit　are　required　in　this　method.　In　this　paper,　image　of　fluorescent　immune-chromatographic　strip　was　captured　by　the　CMOS　image　sensor.　A　method　for　automatic　recognition　of　test　line　and　control　line　was　proposed,　In　this　method,　seed　points　was　chosen　after　the　image　was　enhanced　and　initial　segmented.　Then　the　growth　threshold　was　set　via　the　improved　two-dimensional　Otsu　method.　Finally,　the　region　growth　algorithm　was　implemented　to　segment　test　line　and　control　line.　Experimental　results　showed　that　the　algorithm　could　precisely　segment　the　test　line　and　control　line,　and　finally　realized　the　quantitative　detection　of　fluorescent　immune-chromatographic　strip.　The　experiments　proved　that　the　segmented　test　line　and　control　line　is　clear,　complete　and　had　excellent　performance,　even　in　conditions　of　a　low　contrast　or　a　changeable　background.　The　proposed　method　indexes　on　quantitative　evaluation　of　the　segmentation　result,　such　as　Uniformity　Measure　(UM),　Regional　Contrast　(CR),　were　both　well.　In　the　quantitatively　detect　step,　the　coefficient　variation　of　the　measured　characteristic　values　was　less　than　5%　and　the　linearity　was　mare　than　0.99.　The　experimental　results　shown　that　the　method　was　feasible　for　the　quantitative　detection　of　fluorescent　immune-chromatographic　strip,　and　had　wider　detection　limit　than　the　comparing　instrument.　©　2016,　The　Editorial　Office　of　Chinese　Journal　of　Sensors　and　Actuators.　All　right　reserved.