Research and prospect of underground intelligent coal gangue sorting technology: A review

G Zhao, F Chang, J Chen, G Si - Minerals Engineering, 2024 - Elsevier
As a by-product of coal production, coal gangue, if not handled properly, will pose an
important hidden danger to the environment and safety. Using underground intelligent coal …

High-frequency ultrasound in anti-aging skin therapy monitoring

J Czajkowska, J Juszczyk, MN Bugdol… - Scientific Reports, 2023 - nature.com
Over the last few decades, high-frequency ultrasound has found multiple applications in
various diagnostic fields. The fast development of this imaging technique opens up new …

Surface roughness measurement based on singular value decomposition of objective speckle pattern

SH Patil, R Kulkarni - Optics and Lasers in Engineering, 2022 - Elsevier
Roughness being a crucial feature of the surface texture is estimated through numerous
techniques. The laser speckle imaging method has emerged as an efficient non-contact tool …

Laser cleaning surface roughness estimation using enhanced GLCM feature and ipso-SVR

J Ge, H Liu, S Yang, J Lan - Photonics, 2022 - mdpi.com
In order to evaluate the effect of laser cleaning, a new method of workpiece surface
roughness estimation is proposed. First, a Cartesian robot and visible-light camera are used …

Objective speckle pattern-based surface roughness measurement using matrix factorization

SH Patil, R Kulkarni - Applied Optics, 2022 - opg.optica.org
A method for the measurement of profile parameters of both isotropic and anisotropic
surfaces is presented using the objective laser speckle imaging technique. The surface …

[PDF][PDF] 基于激光散斑成像的煤矸特征提取与识别方法

李鹤群, 郑予菲, 杨涵夕, 刘芸, 焦明星 - Acta Optica Sinica, 2024 - researching.cn
摘要为了解决基于图像识别的煤矸分选技术中, 识别准确率受图像采集环境照度影响较大,
识别效果不佳的问题, 提出一种基于激光散斑成像的煤矸特征提取与识别方法 …

Prediction of surface roughness in different machining methods using a texture mask feature extraction method

HC Pan, JW Pan, KD Chang - Applied Optics, 2022 - opg.optica.org
In this study, a texture mask (TM) machine learning method for predicting metal surface
roughness produced by different machining methods is proposed. The problems caused by …

Parametric characterization of ground surfaces with laser speckles

L Schweickhardt, A Tausendfreund, D Stöbener… - Optics express, 2022 - opg.optica.org
With well-known speckle measurement techniques, the root mean square height as well as
the autocorrelation length of isotropic surfaces can be determined quickly and over a large …

Prediction of milling surface roughness based on DGLCM and neural network

C Zhang, Z Fang, H Lian, Q Zhang… - Journal of Physics …, 2024 - iopscience.iop.org
With the manufacturing industry's increasingly automated and intelligent development,
traditional workpiece roughness measurement methods can no longer meet the …

Roughness Analysis of Stainless Steel Bearing Using Computer Vision

S Das, A Tarafdar, P Mondal - 2024 6th International …, 2024 - ieeexplore.ieee.org
Current technology utilizes a sophisticated standard room measurement system to analyze
the average roughness of Stainless Steel Bearing Surface. However, this process relies on …