Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Dietary supplementation of phytosterols improves meat quality by increasing intramuscular fat, improving fatty acid composition and enhancing antioxidant capacity in Hu lambs.

Animal nutrition (Zhongguo xu mu shou yi xue hui)·2026
Same author

Cyclocarya paliurus Polysaccharides Attenuate High-Fat Diet-Induced Metabolic Dysfunction via Gut Microbiota Remodeling.

Journal of gastroenterology and hepatology·2026
Same author

Artificial Intelligence for Cervical HPV Infection and Lesion Screening: A Cross-Sectional Analysis of Its Application Potential and Patient Satisfaction.

Gynecologic and obstetric investigation·2026
Same author

A semantic-aided abnormal broadcast content analysis method.

Scientific reports·2026
Same author

Editorial: Verification, Falsification, and the Methodology Paradigm Shift for Scientific Psychology.

PsyCh journal·2026
Same author

Research on concentration detection method for turbid solutions using multidimensional spectroscopy with a parabolic sample cell.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026

相关实验视频

Updated: Jun 24, 2025

Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light
07:56

Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

Published on: September 20, 2017

11.6K

液晶调节过器超光谱成像系统的光的一致性校正.

Jianxin Zhang, Yupeng Zhang, Miao Qian

    Journal of the Optical Society of America. A, Optics, image science, and vision
    |June 10, 2024
    PubMed
    概括
    此摘要是机器生成的。

    超光谱成像系统 (HIS) 提供了详细的织物颜色测量,但面临着光的一致性挑战. 这项研究开发了一种使用机器学习的新型校准模型,以确保在不同光线条件下准确的颜色测量,显著提高一致性.

    更多相关视频

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
    11:15

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

    Published on: May 30, 2016

    25.2K
    Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals
    07:24

    Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals

    Published on: April 14, 2020

    17.1K

    相关实验视频

    Last Updated: Jun 24, 2025

    Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light
    07:56

    Preparation of Liquid Crystal Networks for Macroscopic Oscillatory Motion Induced by Light

    Published on: September 20, 2017

    11.6K
    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
    11:15

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

    Published on: May 30, 2016

    25.2K
    Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals
    07:24

    Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals

    Published on: April 14, 2020

    17.1K

    科学领域:

    • 光谱学和成像技术
    • 织科学与工程 织科学与工程
    • 计算机视觉和机器学习

    背景情况:

    • 超光谱成像系统 (HIS) 为先进的织物颜色测量提供了每像素丰富的光谱信息.
    • 与HIS相比,传统的色度计提供了有限的光谱数据.
    • 液晶调节过器HIS面部照明均性和光源一致性问题在织物颜色分析中.

    研究的目的:

    • 为超光谱成像系统开发一个强大的校准模型,以应对照明均性的挑战.
    • 为了提高不同光源的织物颜色测量的一致性.
    • 提高通过HIS.获得的织物颜色数据的准确性和可靠性.

    主要方法:

    • 通过将梯度增强的决策树与滑动窗口算法集成来开发一个统一性校准模型,以纠正照明不一致.
    • 采用深度神经网络 (DNN) 模型来纠正各种光源下的反射度测量.
    • 将一致性校准和DNN模型合并为一个全面的光一致性校正模型.

    主要成果:

    • 开发的光一致性校正模型显著减少了织物样本中的颜色差异.
    • 平均颜色差异从3.636下降到0.854,代表了76.51%的增强.
    • 实现了一致的织物颜色测量,尽管照明不均,光源多样化.

    结论:

    • 提出的基于机器学习的校准模型有效地解决了HIS织物颜色测量中的照明均性和光源一致性问题.
    • 增强的准确性和一致性使得可靠的织物颜色分析在现实世界中,可变的照明条件.
    • 这种方法推进了高光谱成像在织品质量控制和颜色管理中的应用.