Technology of Graphic & Image
|
2520-2525

Detection method for small-size surface defects based on Smooth-DETR

Zhang Naixue
Zhong Yuzhong
Zhao Tao
Dian Songyi
College of Electrical Engineering, Sichuan University, Chengdu 610065, China

Abstract

To deal with challenges of limited and small-size defects in product quality inspection, this paper proposed a method for surface-defect-detection of small-size with few training samples(Smooth-DETR). This method utilized DETR-based encoder-decoder to predict the classification and location of defects, which reduced the parameters and complexity. DETR had a strong global feature learning capability, which could obtain rich texture features of product surfaces with few samples, so that it was easy to detect defects that broke the continuity of texture. The combination of Smooth-L1 loss and GIoU loss improved the regression accuracy on small-size defect samples. Experimental results show that the proposed method performs better than the existing state-of-the-art methods. Moreover, the average detection precision of the proposed method for 11 different classes of surface defects is higher than 98% with few training samples.

Foundation Support

国家重点研发计划资助项目(2018YFB1307401)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.01.0011
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Technology of Graphic & Image
Pages: 2520-2525
Serial Number: 1001-3695(2022)08-049-2520-06

Publish History

[2022-03-18] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

张乃雪, 钟羽中, 赵涛, 等. 基于Smooth-DETR的产品表面小尺寸缺陷检测算法 [J]. 计算机应用研究, 2022, 39 (8): 2520-2525. (Zhang Naixue, Zhong Yuzhong, Zhao Tao, et al. Detection method for small-size surface defects based on Smooth-DETR [J]. Application Research of Computers, 2022, 39 (8): 2520-2525. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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