Bearing-TFUNet: A Triple-Fusion Segmentation Model for Bearing Defect Detection
Bearing, as a critical component in industrial production, directly dictates equipment performance. Bearing surface defects are typically minute in scale, indistinct at their boundaries, and prone to interference from surface textures and light reflections, thereby posing substantial challenges to detection. This paper...