专题:Surface Roughness and Optical Measurements

This cluster of papers focuses on the characterization and measurement of surface roughness in optical components, utilizing techniques such as fractal analysis, machine vision, scattering theory, and thin film analysis. The research covers topics such as surface roughness measurement, power spectral density analysis, micromorphology characterization, and the application of image processing for evaluating surface roughness.
最新文献
Modeling and application of compensator depolarization effects in Mueller matrix ellipsometer

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Prediction of surface roughness based on fusion model

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Review of system modeling and calibration technologies for specular/diffuse composite surface metrology

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Error correction method based on projection transformation for rail wear measurement using line-structured light

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Analysis of Cutting Forces Response to Machining Parameters Under Dry and Wet Machining Conditions in X5CrNi18-10 Turning

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IMTS-YOLO: A Steel Surface Defect Detection Model Integrating Multi-Scale Perception and Progressive Attention

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Simultaneous tool wear condition and surface roughness prediction under limited samples

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Investigation on intelligent surface roughness prediction considering chatter effects based on fine-grained feature extraction and fusion

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Recognition of the Surface Roughness Processed by a Milling Cutter Based on Signals Processing

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Process data-driven machine learning for non-uniformity prediction and virtual metrology in chemical mechanical planarization

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近5年高被引文献
Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review

review Full Text OpenAlex 248 FWCI51.0054

Automated surface defect detection framework using machine vision and convolutional neural networks

article Full Text OpenAlex 246 FWCI31.5142

The Handbook of Surface Imaging and Visualization

book Full Text OpenAlex 213 FWCI1.5936

Review of surface defect detection of steel products based on machine vision

article Full Text OpenAlex 192 FWCI23.8047

Artificial Intelligence-Based Smart Quality Inspection for Manufacturing

article Full Text OpenAlex 175 FWCI35.9309

Deep CNN-based visual defect detection: Survey of current literature

article Full Text OpenAlex 172 FWCI35.4463

An efficient lightweight convolutional neural network for industrial surface defect detection

article Full Text OpenAlex 164 FWCI33.7976

Steel Surface Defect Recognition: A Survey

article Full Text OpenAlex 151 FWCI19.3416

Handbook of Surface Metrology

book Full Text OpenAlex 147 FWCI12.6792

Defect-aware transformer network for intelligent visual surface defect detection

article Full Text OpenAlex 138 FWCI28.4395