Aiming　at　the　time-consuming　problem　of　image　registration　in　video　mosaic,　a　combined　algorithm　based　on　the　BRISK　and　GMS　is　designed　and　optimized.　Based　on　the　fast　feature　extraction　feature　of　the　BRISK,　the　grid　image　method　is　used　to　divide　the　overlap　region　image　to　make　the　feature　point　distribution　more　uniform,　thus　reducing　the　number　of　feature　points　that　need　to　be　operated.　In　the　feature　matching　stage　after　feature　extraction,　the　GMS　is　used　to　eliminate　the　mismatching　pair,　and　improves　the　matching　accuracy　according　to　the　two-way　matching　strategy.　In　order　to　make　the　image　fusion　more　natural　and　smooth,　this　paper　designs　a　regionalized　feather　blending　weighted　fusion　algorithm.　To　reduce　the　error　in　solving　the　overlapping　area,　the　fusion　area　is　constructed　and　divided　into　regions.　The　best　suture　method　is　used　to　get　the　seam.　The　gradual　in　and　out　weighting　algorithm　is　used　in　different　regions　to　achieve　image　fusion,　so　as　to　obtain　the　panoramic　image　with　higher　fusion　quality.　Finally,　a　complete　prototype　of　the　panoramic　video　stitching　system　is　designed.　The　feasibility　and　practicability　of　the　system　scheme　are　verified　by　experiments　which　show　that,　compared　with　the　traditional　video　splicing　technology,　this　algorithm　ensures　the　real-time　performance　of　video　splicing　while　eliminating　the　ghosting　and　seaming　problems　that　occur　during　splicing.　©　2020,　The　Editorial　Board　of　Journal　of　Xidian　University.　All　right　reserved.