With　the　advantage　of　the　encoding-decoding　structure　of　U-net,　this　paper　proposes　a　composite　insulator　infrared　image　segmentation　method,　which　focuses　on　the　feature　fusing　of　the　extracted　image　and　temperature　value　features.　Firstly,　the　infrared　images　of　composite　insulators　are　transformed　to　derive　the　temperature　data　matrix　with　the　same　size.　Secondly,　the　feature　extraction　network,　which　is　used　as　the　encoder　of　U-net　network,　is　adopted　for　the　feature　extraction　of　the　infrared　image　and　temperature　data　matrix　respectively.　Then,　in　the　decoding　process,　the　feature　fusing　is　realized　that　the　outputs　of　feature　extraction　networks　are　fused　and　the　fused　feature　map　is　gradually　restored　to　the　original　input　size　through　up　sampling.　Finally,　the　experimental　results　show　that　the　average　intersection-over-union　of　proposed　model　is　74.09%　and　the　precision　is　84.33%,　which　are　both　better　than　the　results　of　traditional　U-net　with　one　type　of　input.　©　2022　IEEE.