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
Machine learning in chemical–mechanical planarization: A comprehensive review of trends, applications, and challenges

review Full Text OpenAlex

CW laser damage of ceramics induced by air filament

article Full Text OpenAlex

Prediction of surface roughness based on multi-input CNN-MHA in milling

article Full Text OpenAlex

Achieving high-fold optical subdivision of a blazed grating interferometer through near-Littrow incidence

article Full Text OpenAlex

Normal incident optical reflectance spectroscopy for thin-film thickness measurement with genetic algorithm

article Full Text OpenAlex

Quantifying the Complexity of Rough Surfaces Using Multiscale Entropy: The Critical Role of Binning in Controlling Amplitude Effects

article Full Text OpenAlex

Surface defect detection of wire rope using laser point cloud data and deep learning

article Full Text OpenAlex

Cellular Regression Machine: A Collaborative Modeling Approach for Batch BRDF Reconstruction and Infrared Emissivity Prediction of Non-Lambertian Surfaces

article Full Text OpenAlex

Real-time surface defect detection algorithm for printed circuit boards based on improved YOLOv11n

article Full Text OpenAlex

Workpiece surface defect detection based on YOLOv11 and edge computing

article Full Text OpenAlex

近5年高被引文献
State of the Art in Defect Detection Based on Machine Vision

article Full Text OpenAlex 483 FWCI49.843

Surface Defect Detection Methods for Industrial Products: A Review

review Full Text OpenAlex 245 FWCI5.816

Development of a YOLO-V3-based model for detecting defects on steel strip surface

article Full Text OpenAlex 230 FWCI27.027

Image-Based Surface Defect Detection Using Deep Learning: A Review

review Full Text OpenAlex 221 FWCI5.442

Improved faster R-CNN for fabric defect detection based on Gabor filter with Genetic Algorithm optimization

article Full Text OpenAlex 202 FWCI20.779

Modelling and prediction of surface roughness in wire arc additive manufacturing using machine learning

article Full Text OpenAlex 192 FWCI16.405

Recent advances in surface defect inspection of industrial products using deep learning techniques

article Full Text OpenAlex 173 FWCI18.742

DCC-CenterNet: A rapid detection method for steel surface defects

article Full Text OpenAlex 162 FWCI18.199

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

article Full Text OpenAlex 161 FWCI23.655

Functional Importance of Surface Texture Parameters

review Full Text OpenAlex 155 FWCI3.183