The invention provides a building steel
cutting defect identification method, a storage medium and a
system, and the method comprises the steps: calculating a curvature
tensor field of a first image, constructing a curvature-driven
diffusion evolution model, setting the
diffusion intensity of the model to be in direct proportion to the curvature gradient, setting the
diffusion direction to be along the main direction of the curvature, and calculating the curvature
tensor field of the first image; iteratively executing a diffusion process until the curvature
tensor field reaches a balance state, identifying a curvature extreme point as a candidate defect seed point, and generating a second image; performing
image enhancement processing on the second image to generate a third image, calculating a coherence group of the third image, recording the number of connected components and the number of holes, and performing morphological expansion and
corrosion operation under the constraint of the coherence group to generate a fourth image; and carrying out spatial continuity
verification on the fourth image, screening out a connected region meeting a preset requirement as a
cutting defect region, and finally generating a
cutting defect identification result, so as to still ensure that the cutting defect of the building steel is accurately identified under the interference of a complex optical phenomenon.