Camera　calibration　technology　has　been　widely　applied　to　electronic　measurement　engineering.　According　to　the　calibration　needs　manual　confirmation　corner　time-consuming　and　the　problem　which　possibly　exists　in　setting　error,　this　paper　presents　a　square　corner　detection　algorithm　of　black-and-white　checkerboard　for　automatic　dual-rotating　template　which　can　obtain　feature　points　which　needed　for　the　calibration　of　black-and-white　chessboard.　The　algorithm　combines　with　black-and-white　detecting　operator　(BW)　thinking,　through　the　construction　of　double　operator　template,　regulate　parameter　and　template　for　self-adaption　according　to　the　results　of　detection,　detect　corners　on　a　black-and-white　checkerboard　iteratively,　and　achieve　the　forecast　effect　at　last.　The　algorithm　not　only　practical,　but　also　enhance　the　detection　accuracy　of　effective　corner　in　checkerboard　and　noise　inhibiting　ability.　©　2012　Springer-Verlag　Berlin　Heidelberg.