混凝土构件表面裂缝分割的改进SegFormer方法OA

Concrete structures commonly exhibit visible surface cracks and detecting these surface cracks is of great significance for structural condition assessment.This paper presents an improved attention mechanism mode for surface crack segmentation.The method leverages the network framework and innovative module(CA)of the improved attention mechanism mode,adds a coordinate attention module to the decoder,and by introducing pooling along the diagonal direction significantly enhances the model's understanding of elongated spatial relationships in pixel-level predictions.Comparative experiments on the public dataset Concrete3k demonstrate that the improved attention mechanism mode achieves the highest IoU value,indicating superior performance in crack segmentation tasks.Additionally,the improved attention mechanism mode maintains high performance with a relatively low parameter count.