Looseness defect image generation method based on texture synthesis

A technology of texture synthesis and image generation, applied in 2D image generation, image analysis, texture/color, etc., can solve the problems affecting the detection accuracy of the algorithm, and achieve the effect of high speed

Active Publication Date: 2017-11-17
SOUTH CHINA UNIV OF TECH
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 g

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Looseness defect image generation method based on texture synthesis
  • Looseness defect image generation method based on texture synthesis
  • Looseness defect image generation method based on texture synthesis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0041] Figure 5 It is the method of the present invention to obtain a new workpiece map with generation defects according to the actual workpiece map with loose texture defects, comprising the following steps:

[0042] (1) Normalize the X-ray image of the actual workpiece with loose texture defects, and cut out suitable defect samples;

[0043] (2) remove the background image in the sample;

[0044] (3) In a new workpiece image, according to the required area size, select a rectangular area as the defect generation area at any desired position of the workpiece;

[0045] (4) Utilize the new texture image generation process shown in Figure (1) to generate a new defect texture image with the same size as the selected defect generation area;

[0046] (5) Superimposing the generated defect texture image on the position of the workpiece image, that is, obtaining a new workpiece image with generated defects. The superposition method is to add the gray value of each pixel in the se...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T11/00G06T7/00G06T7/11G06T7/13G06T7/187
CPCG06T7/001G06T7/11G06T7/13G06T7/187G06T11/001
Inventor 胡志辉黄茜
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap