In　this　paper　a　method　is　proposed　to　segment　the　board　in　Snooker　games　automatically.　The　algorithm　involves　the　following　steps:　first,　separable　second　derivative　of　Guassian　steerable　filters,which　are　linear　combination　of　basis　filters　and　can　implement　filtering　with　variant　direction,　are　used　to　extract　the　edges　in　both　horizontal　and　vertical　directions.　The　input　image　f(x,y)　is　convolved　with　every　base　filter,　then　weighted　the　summation　of　outputs　of　all　the　base　filter,　the　resulted　image　g(x,y)　can　be　obtained.　Second,　the　candidate　board　regions　are　extracted　by　color　segmentation.　After　image　dilation,　which　can　make　the　points　which　are　around　the　background　merge　to　the　objects,it　is　helpful　that　extracting　the　edge　pixels　exactly.　And　next,　the　candidate　edge　pixels　are　extracted　by　both　the　peak　value　of　edge　pixel　and　the　candidate　board　region.　Finally,the　true　edge　pixels　can　be　obtained　by　curve　fitting,　and　the　board　is　segmented　by　the　results　of　curve　fitting.