In　this　paper,　a　method　of　detecting　adult　images　based　on　AdaBoost　was　proposed.　We　focused　on　the　detection　of　the　adult　images　that　have　naked　breasts　or　naked　genitalia.　By　using　basic　and　rotated　Haar-like　features　extracted　from　the　samples　in　the　training　set,　we　trained　a　cascade　detector.　The　detector　would　classify　the　image　whether　to　be　a　pornographic　one　or　not.　The　results　showed　that　this　method　achieved　a　high　detection　rate　and　a　low　false　alarm　rate.　©　(2012)　Trans　Tech　Publications,　Switzerland.