This　paper　proposes　a　new　global　based　approach　for　stereo　matching　with　occlusion　handling.　We　first　use　a　global　method　based　on　the　energy　function　to　get　the　initial　disparity,　in　order　to　get　the　accurate　result,　we　use　cross-based　region　as　data　term,　and　a　hierarchical　belief　propagation　strategy　is　used　to　smooth　the　disparity　map.　To　improve　performance　we　introduce　the　stability　factor　to　determine　the　smoothness　of　disparities.　For　occlusion　handling,　the　main　ideal　is　using　segment　based　strategy　to　deal　with　occlusion　pixels.　Finally,　the　algorithm　is　evaluated　on　the　Middlebury　data　sets,　Experimental　results　shows　that　the　proposed　method　is　competitive　with　the　state　of　the　art.　©　2011　IEEE.