SURF　(Speeded-Up　Robust　Features)　overcomes　the　expensive　computation　of　SIFT　(Scale　Invariant　Feature　Transform),　but　both　of　them　are　designed　mainly　for　gray-scale　images.　To　overcome　this　drawback,　color　information　could　be　added　in　the　registration.　This　paper　presents　a　novel　adaptive　registration　algorithm　of　color　images　based　on　the　SURF　descriptor.　Firstly,　key　points　and　descriptors　are　calculated　using　SURF.　Secondly,　color　information　is　superimposed　upon　the　key　points＇　descriptor　to　construct　a　modified　descriptor.　Finally,　a　two-way　matching　method　based　on　adaptive　Euclidean　nearest/second　nearest　discrimination　law　is　designed　for　image　matching.　Extensive　experimental　evaluations　show　that　the　algorithm　not　only　inherits　the　superior　performance　of　the　SURF　algorithm,　but　also　increases　adaptive　matching　capability　for　color　images.　(C)　2015　Elsevier　Ltd.　All　rights　reserved.