The application relates to the technical field of industrial
visual inspection, and discloses a kind of intelligent visual defect detection methods for plastic product production, comprising: based on the continuous texture direction formed by fusion material itself in the weld area image, texture
reference structure with sparse topological constraint is constructed;According to the texture
reference structure, the weld area image is locally textured element deconstruction, and the texture
element space layout embedded in the texture
reference structure constraint is obtained;According to the texture reference structure, the topological structure of the texture
element space layout in the weld area image is predicted, and the topological abnormal area meeting the texture neighborhood self-correction mechanism is determined;According to the spatial topological correlation between the topological abnormal area and the texture reference structure, the real defect area is extracted;The application realizes the accurate and reliable detection of the defect of the weld area of the plastic product by texture topological structure constraint and spatial
layout self-correction, effectively improves the stability and accuracy of the weld
quality control.