The invention discloses
glass fiber woven roving composite felt surface defect detection equipment based on
machine vision, and relates to the technical field of
glass fiber fabric defect detection, and the
glass fiber woven roving composite felt surface defect detection equipment comprises a
machine body, an operation panel, a
workbench, a high-definition camera
assembly, a winding roller
assembly, a temperature sensor, a
laser displacement sensor and a detection analysis calculation
assembly, the detection, analysis and calculation assembly comprises a
data acquisition module, a
data processing module, a calculation and analysis module and a judgment and feedback module, and the calculation and analysis module comprises a defect preliminary positioning unit, a feature analysis unit and a defect comprehensive judgment unit. According to the method, the grid intersection point offset density and
confidence factor introduced by the defect preliminary positioning unit break through the limitation of gray energy, the local reflective polarization degree and variance introduced by the feature analysis unit break through the limitation of gray gradient, and the multiple features fused by the defect comprehensive judgment unit, so that the structural defect positioning precision is improved, and the accuracy of structural defect positioning is improved. And correlation evaluation of defect severity and material performance is realized.