Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (1): 234-240.doi: 10.13229/j.cnki.jdxbgxb20211301

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Asymmetric defect detection method of small sample image based on meta learning

Peng-qi⁃zi HUANG1(),Xiao-jun DUAN1,Wen-wei HUANG2,Liang YAN1   

  1. 1.College of Arts and Sciences，National University of Defense Technology，Changsha 410072，China
    2.College of Military Basic Education，National University of Defense Technology，Changsha 410072，China
  • Received:2021-11-29 Online:2023-01-01 Published:2023-07-23

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Abstract:

Taking the accurate detection of asymmetric defects in small sample images as the research core， a small sample image asymmetric defect detection method based on meta learning is proposed. The adaptive filtering method of small sample image based on modulation is used to remove the noise of small sample image and optimize the quality of small sample image； Through the defect feature extraction method of filtered small sample image based on boundary detection， the defect feature of filtered small sample image is extracted； The extracted features are used as the detection samples of the small sample image asymmetric defect feature detection method based on improved meta learning to realize the small sample image asymmetric defect detection. The experimental results show that the proposed method has good filtering effect on small sample images. When detecting a variety of asymmetric defects， when the number of defect features of small sample images increases， the minimum value of intersection and union ratio of this method is 0.9， and the value of intersection and union ratio is ideal， which can accurately detect asymmetric defects of small sample images.

Key words: meta learning, small samples, image, asymmetric, defect detection, gradient descent method

CLC Number: 

  • TP391.4

Fig.1

Structure information of meta learning"

Fig.2

Structure information of gradient descent method"

Fig.3

Original drawing of black spot asymmetricdefect"

Fig.4

Original drawing of crack type asymmetricdefect"

Fig.5

Filtering results of black spot asymmetric defect image"

Fig.6

Filtering results of crack type asymmetric defect image"

Fig.7

Test results of black spot asymmetric defects"

Fig.8

Test results of crack type asymmetric defects"

Fig.9

Intersection and combination comparison view"

Fig.10

Intersection union ratio of asymmetric defect detection results"

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