Results 21 to 30 of about 251,254 (214)

ID-MSNet: An Enhanced Multi-Scale Network with Convolutional Attention for Pixel-Level Steel Defect Segmentation

open access: yesAlgorithms
Automated pixel-level detection of steel surface defects is a critical challenge in manufacturing quality control, complicated by the variation in defect size and shape, low contrast with background textures, and the diversity of defect patterns.
Mohammadreza Saberironaghi   +2 more
doaj   +1 more source

Detection of Surface Defects in Ceramic Tiles With Complex Texture

open access: yesIEEE Access, 2021
To solve the problem of false defect detection owing to the interference of the texture attribute of ceramic tiles, a method for detecting surface defects in complex-textured ceramic tiles is proposed.
Huailiang Zhang   +3 more
doaj   +1 more source

Using ISU-GAN for unsupervised small sample defect detection

open access: yesScientific Reports, 2022
Surface defect detection is a vital process in industrial production and a significant research direction in computer vision. Although today’s deep learning defect detection methods based on computer vision can achieve high detection accuracy, they are ...
Yijing Guo   +6 more
doaj   +1 more source

An Automatic Defect Detection System for Petrochemical Pipeline Based on Cycle-GAN and YOLO v5

open access: yesSensors, 2022
Defect detection of petrochemical pipelines is an important task for industrial production safety. At present, pipeline defect detection mainly relies on closed circuit television method (CCTV) to take video of the pipeline inner wall and then detect the
Kun Chen   +6 more
doaj   +1 more source

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters   +17 more
wiley   +1 more source

Detection of Apparent Defects of Underwater Structures in Turbid Waters Based on Polarization Imaging and Deep Learning [PDF]

open access: yes长江科学院院报
[Objective] In underwater engineering inspection, the turbid shallow water environment severely hinders the performance of machine vision-based methods for detecting surface defects in underwater structures.
LÜ Zong-jie, LI Jun-jie, ZHANG Xue-wu
doaj   +1 more source

Edge Effect Analysis and Edge Defect Detection of Titanium Alloy Based on Eddy Current Testing

open access: yesApplied Sciences, 2020
Titanium alloy is widely used in the area of aerospace and aviation due to its excellent properties. Eddy current testing (ECT) is among the most extensively used non-destructive techniques for titanium alloy material inspection.
Yuedong Xie   +5 more
doaj   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

open access: yesFEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes   +3 more
wiley   +1 more source

RESEARCH ON VISUAL DETECTION METHOD OF SOUND FILM BROKEN GLUE DEFECT

open access: yesImage Analysis and Stereology
Broken glue defect is a common defect in sound film dispensing. Aiming at the problem of fuzzy glue region boundary frequently occurring in the detection process, an improved iterative maximum interclass variance method was proposed to detect broken ...
Jianchun Liu   +3 more
doaj   +1 more source

Effective Fabric Defect Detection Model for High-Resolution Images

open access: yesApplied Sciences, 2023
The generation of defects during fabric production impacts fabric quality, and fabric production factories can greatly benefit from the automatic detection of fabric defects. Although object detection algorithms based on convolutional neural networks can
Long Li, Qi Li, Zhiyuan Liu, Lin Xue
doaj   +1 more source

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