Image　has　various　inherent　features　which　reflect　its　content　such　as　color,　texture,　shape,　spatial　relationship　features　etc　How　to　organize　and　utilize　these　features　effectively　and　improve　the　retrieval　performance　is　a　valuable　research　topic　in　content-based　image　retrieval.　One　of　the　key　issues　in　image　retrieval　based　on　combined　features　is　how　to　assign　weight　to　different　feature.　An　image　retrieval　method　combined　color　and　texture　features　is　proposed　in　this　paper.　According　to　image　texture　characteristic,　a　kind　of　image　feature　statistic　is　defined.　By　using　feature　weight　assignment　operators　designed　here,　the　method　can　assign　weight　to　the　color　and　texture　features　according　to　image　content　adaptively　and　realize　image　retrieval　based　on　combined　image　features.　The　experiment　results　show　that　the　method　is　more　efficiently　than　those　traditional　CBIR　methods　based　on　single　visual　feature　or　simple　linear　combined　low-level　visual　features　of　fixed　weight.　©2008　IEEE.