In　the　measurement　of　ocular　muscles　in　live　pigs,　segmentation　methods　based　on　ultrasound　images　are　commonly　used.　However,　due　to　various　interferences　in　the　ocular　muscle　region　and　ultrasound　images,　the　segmentation　accuracy　is　low.　We　proposed　a　segmentation　algorithm　for　porcine　ocular　muscle　ultrasound　images　based　on　continuous　minimum　cuts.　Firstly,　the　ultrasound　image　of　the　ocular　muscle　is　preprocessed　to　reduce　common　interference;　then,　the　initial　prediction　edge　is　extracted,　and　the　foreground　and　background　templates　are　roughly　constructed;　finally,　a　segmentation　algorithm　is　constructed　according　to　the　two　templates　to　obtain　the　contour　edge　of　the　ocular　muscle　of　the　breeding　pig,　so　as　to　achieve　accurate　measurement.　The　experimental　results　show　that　the　segmentation　accuracy　of　the　proposed　algorithm　is　significantly　better　than　that　of　the　mainstream　ultrasound　image　segmentation　algorithms,　and　the　segmentation　results　are　closer　to　the　manual　measurement　results.　©　2022　IEEE.