It　is　hard　for　current　interactive　stereo　image　segmentation　methods　to　deal　with　large　scale　images　with　fast　feedback　after　each　interaction.　In　this　paper,　we　present　an　interactive　stereo　image　segmentation　method.　Different　from　current　methods,　our　method　introduces　a　multi-scale　graph　structure　for　fast　graph　cut　optimization.　Besides,　we　use　GPU　parallel　computing　to　handle　single　instruction　multiple　data　tasks　involved　in　the　segmentation.　Compared　with　state-of-the-art　methods,　our　approach　significantly　accelerates　segmentation　speed.　In　the　meanwhile,　our　method　obtains　segmentation　accuracy　comparable　with　state-of-the-art　methods.