For　the　purpose　of　improving　the　real-time　performance　of　the　SIFT　algorithm,　an　image　matching　algorithm　based　on　SUSAN-SIFT　algorithm　is　proposed　in　this　paper.　Use　SUSAN　algorithm　in　the　detecting　feature　points　part　of　the　SIFT　algorithm,　avoiding　the　time-consuming　down-sampling　and　Gaussian　convolution　of　the　algorithm,　and　remove　the　feature　points　of　the　unstable　and　low-contrast　by　the　methods　of　interpolated　estimate　and　the　principal　curvatures,　and　then　use　the　SIFT　algorithm　to　achieve　the　parts　of　describing　the　feature　points　and　images　matching.　experimental　verification:　the　SUSAN-SIFT　algorithm　has　more　fast　calculation　speed　than　SIFT　algorithm　ensuring　the　accuracy　at　the　same　time.　©　(2013)　Trans　Tech　Publications,　Switzerland.