In　this　paper,　we　present　a　simple　and　efficient　disparity　estimation　method　based　on　region-growth　techniques,　which　can　obtain　the　more　accurate　disparity　map　from　two　color　or　gray　images　with　an　acceptable　speed　and　computationnal　cost.　The　proposed　method　includes　two　steps:　the　selection　of　the　seed　points　and　propagation.　Instead　of　propagating　after　getting　all　seed　points,　the　proposed　method　begins　to　propagate　as　soon　as　one　point　is　gotten.　This　makes　the　algorithm　more　efficient.　In　the　propagation　step,　a　line-growth　method　is　adopted　since　disparity　of　the　stereo　image　is　only　in　the　row　directions.　Experiments　with　test　and　real　stereo　image　pairs　show　the　validity　of　the　proposed　method.　©2010　IEEE.