Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Lumber Defects01:23

Lumber Defects

683
Lumber defects, which can affect both the appearance and structural integrity of wood, include a variety of growth and manufacturing flaws. Growth defects such as knots and knotholes occur where branches were once attached to the tree trunk, with knotholes forming when these knots fall out. Other natural defects include decay and insect damage, which compromise the wood's strength and durability.
Shakes are minor fractures that run along or across the wood's annual rings, while wane is...
683
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

7.2K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
7.2K
Long-patch Base Excision Repair01:02

Long-patch Base Excision Repair

8.3K
Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:
8.3K
Detection of Black Holes01:10

Detection of Black Holes

2.6K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.6K
Leaky Scanning02:28

Leaky Scanning

5.9K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.9K
Imperfections in Crystal Structure: Stoichiometric Point Defects01:26

Imperfections in Crystal Structure: Stoichiometric Point Defects

66
Schottky defects arise when some lattice points in a crystal, such as those in NaCl, remain unoccupied, creating lattice vacancies without disturbing the overall electrical neutrality of the crystal. This defect is common in ionic crystals where the positive and negative ions are similar in size, as seen in sodium chloride and cesium chloride. The presence of Schottky defects enables the crystal to conduct electricity to a small extent through an ionic mechanism. Electric fields cause nearby...
66

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Low-dose CT reconstruction network based on the unfoldment of second-order TGV.

Journal of X-ray science and technology·2026
Same author

A Chambolle-Pock algorithm for sparse-view CT reconstruction via total generalized variation regularization and penalized weighted least-squares criterion.

Biomedical physics & engineering express·2025
Same author

CSCST-Net: a fully sparse-regularized convolutional sparse coding network for low-dose CT denoising.

Biomedical physics & engineering express·2025
Same author

Combination of edge enhancement and cold diffusion model for low dose CT image denoising.

Biomedizinische Technik. Biomedical engineering·2024
Same author

Sparse-view CT reconstruction based on group-based sparse representation using weighted guided image filtering.

Biomedizinische Technik. Biomedical engineering·2024
Same author

Learnable PM diffusion coefficients and reformative coordinate attention network for low dose CT denoising.

Physics in medicine and biology·2023
Same journal

Semi-supervised YOLO-DEP for high-resolution X-ray component localization and counting.

Journal of X-ray science and technology·2026
Same journal

Attention based multi-scale edge-aware segmentation and convolutional transformer framework for automated glaucoma detection from fundus images.

Journal of X-ray science and technology·2026
Same journal

Improving the robustness of radiomic features to patient size variations in CBCT imaging for radiotherapy.

Journal of X-ray science and technology·2026
Same journal

DH-OOD: A decoupled hybrid framework for robust skin lesion classification via semantic-structural fusion.

Journal of X-ray science and technology·2026
Same journal

Development and evaluation of deep learning models for automatic coronary stenosis segmentation in X-ray angiography.

Journal of X-ray science and technology·2026
Same journal

Projection-domain reconstruction of patient-specific panoramic images from CBCT projection data.

Journal of X-ray science and technology·2026
See all related articles

Related Experiment Video

Updated: Mar 25, 2026

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

1.0K

Weld defect detection based on improved YOLOv8n.

Yongqi Yan1,2, Yi Liu1,2, Lingshuang Meng1,3

  • 1State key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instrument, North University of China, Taiyuan, China.

Journal of X-Ray Science and Technology
|March 24, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an enhanced YOLOv8n model for industrial weld defect detection, achieving higher accuracy and faster speeds. The improved method offers a lightweight and efficient solution for automated defect identification.

Keywords:
C2f_OREPADCDConvYOLOv8ndeep learninglightweightweld defect detection

More Related Videos

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
05:30

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation

Published on: September 29, 2019

8.8K
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.6K

Related Experiment Videos

Last Updated: Mar 25, 2026

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

1.0K
Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation
05:30

Crack Monitoring in Resonance Fatigue Testing of Welded Specimens Using Digital Image Correlation

Published on: September 29, 2019

8.8K
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.6K

Area of Science:

  • Computer Vision
  • Machine Learning
  • Materials Science

Background:

  • Industrial weld defect detection faces challenges due to low contrast and blurred edges, impacting algorithm performance.
  • Existing methods struggle to meet industrial demands for high accuracy, speed, and deployability.

Purpose of the Study:

  • To develop an improved, lightweight YOLOv8n model for accurate and fast automated weld defect detection.
  • To enhance feature representation and preserve subtle defect details for better detection.

Main Methods:

  • Replaced the C2f module with C2f_OREPA for reduced complexity and enhanced feature extraction.
  • Introduced DCDConv to preserve fine defect features and improve subtle defect detection.
  • Incorporated a cross-scale feature fusion module (CCFM) for multi-scale defect detection.

Main Results:

  • Achieved 87.6% mAP on a custom dataset (4.5% increase over YOLOv8n) and 82.8% mAP on the NEU-DET dataset (6.7% increase).
  • Reduced model parameters by 26.9% and computational cost by 35.7%.
  • Attained an inference speed of 103 FPS, outperforming mainstream object detection frameworks.

Conclusions:

  • The proposed method offers an accurate, efficient, and deployable solution for industrial weld defect detection.
  • Demonstrates significant practical value for automated quality control in manufacturing.