To　keep　image　matching　method　being　self-adjusted　is　very　difficult.　As　an　important　aspect　of　self-adjusted　problem,　the　angle　between　template　and　image　directly　decide　whether　the　matching　could　be　success.　Particularly,　the　result　of　image　matching　is　seldom　accurate　when　the　traditional　matching　approach　is　used.　In　recent　years,　with　series　of　new　idea　created,　there　is　a　great　breakthrough　in　field　of　Image　matching.　A　new　self-adjusted　image　matching　approach　based　on　Pyramid　model　and　polar　coordinate　is　discussed　in　this　paper.　Polar　coordinate　is　used　to　remove　the　implication　of　rotation　and　Pyramid　model　is　taken　to　keep　the　real-time　of　algorithm.　The　simulation　result　shows　that　this　algorithm　is　more　stable　and　faster　than　the　traditional　pixel-to-pixel　algorithm.　Moreover,　this　approach　is　easier　to　carry　out　and　become　a　simple　step　of　complex　analyzing　system.　©　2013　APSIPA.