Looseness defect image generation method based on texture synthesis

Abstract

The invention discloses a looseness defect image generation method based on texture synthesis. The method includes the steps of (1) cutting an appropriate defect sample from an X-ray image of an actual workpiece with a loose texture defect; (2) removing a background image in the sample to obtain a defect texture image sample; (3) in a new workpiece image, according to the required area, in any expected position of the workpiece, selecting a rectangular area as a defect generation area; (4) using a texture synthesis method to generate a new defect texture image of the same size as that of the defect generation area; and (5) superposing the generated defect texture image to the position of the workpiece image. The looseness defect image generation method based on texture synthesis realizes rapid generation of a looseness defect image, the shape and area of a generated defect have randomness, an image effect is very close to a real image, and through human eye subjective judgment of an expert, the generated looseness defect image can be accepted as a defect image sample.

Description

technical field [0001] The invention relates to the technical field of defect image generation, in particular to a method for generating loose defect images based on texture synthesis. Background technique [0002] In actual production, due to the casting process, materials and other reasons, the probability of producing unqualified castings cannot be completely eliminated. In order to ensure the quality of castings, it is necessary to detect the defects of castings. At present, many casting inspections in our country are still done manually. Although the manual detection method can meet certain production requirements of the factory, it has the disadvantages of being subjective, inefficient, and prone to fatigue. With the improvement of production efficiency and labor cost, automatic defect detection algorithm has gradually become the demand of foundry industry. [0003] Because many defects of castings will be hidden inside the casting, the method of non-destructive tes...

AI Technical Summary

Problems solved by technology

Although this type of method is relatively simple and suitable for generating a large number of images, there is still a certain gap between the generated images, especially the loose defect images, and the real defect images, which will affect the detection accuracy of subsequent algorithms

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