In　this　paper,　a　fast,　reliable　and　accurate　quantitative　detection　method　for　the　colloidal　gold　immunochromatographic　strip(GICA)　is　presented.　An　image　acquisition　device　which　is　mainly　composed　of　annular　LED　source,　zoom　ratio　lens,　and　10bit　CMOS　image　sensors　with　54.5dB　SNR　is　designed　for　the　detection.　Firstly,　the　test　line　is　extracted　from　the　strip　window　through　using　the　H　component　peak　points　of　the　HSV　space　as　the　clustering　centers　via　the　Fuzzy　C-Means(FCM)　clustering　method.　Then,　a　two　dimensional　eigenvalue　composed　with　the　hue(H)　and　saturation(S)　of　HSV　space　was　proposed　to　improve　the　accuracy　of　the　quantitative　detection.　At　last,　the　experiment　of　human　chorionic　gonadotropin(HCG)　with　the　concentration　range　0-500mIU/mL　is　carried　out.　The　results　show　that　the　linear　correlation　coefficient　between　this　method　and　optical　density(OD)　values　measured　by　the　fiber　optical　sensor　reach　96.74%.　Meanwhile,　the　linearity　of　fitting　curve　constructed　with　concentration　was　greater　than　95.00%.