In　this　paper　we　propose　a　color　image　segmentation　algorithm　based　on　visible　color　difference　and　block-based　region　growing　techniques.　Firstly,　the　original　image　is　divide　into　image　blocks　which　are　not　overlapped;　then,　the　mean　and　variance　of　each　image　black　was　calculated　in　CIEL*a*b*　color　space,　and　the　image　blocks　were　divided　into　homogeneous　color　blocks　and　texture　blocks　by　the　variance　of　it.　The　Initial　seed　regions　are　automatically　selected　depending　on　calculating　the　homogeneous　color　blocks＇　color　difference　in　CIEL*a*b*　color　space　and　spatial　and　adjacent　information.　The　quadtree　decomposition　algorithm　was　applied　to　split　and　merge　the　texture　blocks.　Finally,　the　region　growing　and　merging　algorithm　was　to　use　and　achieve　the　segmentation　result.　The　experimental　segmentation　results　hold　favorable　consistency　in　terms　of　human　perception,　and　confirm　effectiveness　of　the　algorithm.