Steel surface defect detectionTo address the issue of low detection accuracy of steel surface defects due to complex texture background interference and complex defect morphology, this paper proposes an improved YOLOv8 model based on MobileViTv2 and Cross-Local Connection for steel surface defect ...
efficient decoupled detection headIn response to the inevitable surface defects in the manufacturing process of hot-rolled steel, this paper proposes an improved steel surface defect detection model based on YOLOv7. In the Extended Efficient Large Aggregation Network (E-ELAN), the model replaces ...
基于机器视觉的带钢表面缺陷检测系统分析-analysis of strip steel surface defect detection system based on machine vision.docx,AbstractQuality control has gained high significance in steel production, and the defects on the surface of cold steel strips was
The proposed method was evaluated on three publicly available steel surface defect detection datasets that are widely used in the field of object detection: NEU-DET, GC10-DET and APDDD datasets. Through extensive experiments, this paper demonstrates the soundness, effectiveness, and superiority of th...
Steel surface defect detection, with the goal of enhancing the quality of steel within the industry, is a vital process in steel production. Over the years, a number of techniques have been developed to meet the challenge of object detection. Nonetheless, designing lightweight models that can de...
2) Surface defect of steel ball 钢球表面缺陷 例句>> 3) Surface defect detection 表面缺陷检测 1. Application of multi-level image classification system in surface defect detection of cold-rolled silicon strip 多级图像分类系统在硅钢冷轧表面缺陷检测中的应用 2. Aiming at some problems in the ...
We present photometric stereo algorithms robust to non-Lambertian reflection, which are based on a convolutional neural network in which surface normals of... C Yu,WL Sang - 《Sensors》 被引量: 0发表: 2020年 Online Metallic Surface Defect Detection Using Deep Learning Multiple images obtained fr...
The precise identification of surface imperfections in steel strips is crucial for ensuring steel product quality. To address the challenges posed by the substantial model size and computational complexity in current algorithms for detecting surface defe
pitted_surface_56.jpg and {'width': 200, 'height': 200, 'depth': 1} add image with crazing_68.jpg and {'width': 200, 'height': 200, 'depth': 1} add image with rolled-in_scale_110.jpg and {'width': 200, 'height': 200, 'depth': 1} add image with pitted_surface_170....
In the steel manufacturing process, various defects may arise in steel plates due to inadequate manufacturing processes. To address issues such as low accuracy and missed detections during the inspection process, this paper proposes an enhanced Unet model for surface defect detection. Firstly, the mod...