孙叶维,孔玲君,刘真.基于修改的LMS曲线加权残差补偿光谱降维法[J].包装工程,2016,37(9):114-119.
SUN Ye-wei,KONG Ling-jun,LIU Zhen.Residual Compensation of Weighted Spectral Dimension Reduction Method Based on Modified LMS[J].Packaging Engineering,2016,37(9):114-119. |
| 基于修改的LMS曲线加权残差补偿光谱降维法 |
| Residual Compensation of Weighted Spectral Dimension Reduction Method Based on Modified LMS |
| 投稿时间：2015-09-10 修订日期：2016-05-10 |
| DOI： |
| 中文关键词: 光谱降维 修改的LMS曲线 加权残差补偿 |
| 英文关键词: spectral dimension reduction modified LMS curve weighted residual compensation |
| 基金项目:上海理工大学科技发展项目 |
|
| 摘要点击次数: |
| 全文下载次数: |
| 中文摘要: |
| 目的 为了同时实现较高的光谱精度和色度精度， 提出一种基于修改的LMS曲线加权残差补偿光谱降维法。方法 利用Matlab软件自制由7986个色块组成的色靶， 将前5986个色块作为训练样本，后2000个色块以及Munsell色卡作为测试样本。采集色靶的光谱数据后， 对高维光谱数据采用基于修改的 LMS 曲线加权残差补偿光谱降维法进行降维， 并与主成分分析法、 LabPQR 非线性降维法、WSPCAplus非线性降维法、 修改矩阵 R降维法等方法的效果进行对比分析。结果 实验结果表明， 提出的基于修改的LMS曲线加权残差补偿光谱降维法重构得到的光谱数据具有较高的光谱精度， 同时在色度精度上也有了明显的提高， 且在观察视角变化的情况下仍具有稳定的色差精度。结论 基于修改的LMS曲线加权残差补偿光谱降维法能够在保证较好光谱精度的同时具有较高的色差精度， 且在不同视角下色差精度的稳定性较好， 适合多种颜色样本， 具有良好的实用性。 |
| 英文摘要: |
| In order to achieve higher spectral accuracy and chromaticity accuracy, a residual compensation of weighted spectral dimension reduction method based on modified LMS was proposed in this paper. A homemade color test target composed of 7986 color patches was produced using Matlab. The first 5986 color patches were used as the training samples, while the other 2000 color patches and Munsell color swatches were used as the test samples. The spectral data of the training samples were measured and then the high dimensional spectral data′ s dimensionality was reduced by the residual compensation of weighted spectral dimension reduction method based on modified LMS, and the dimensionality reduction effect was compared with those of the principal component analysis, LabPQR nonlinear dimension reduction method, WSPCAplus nonlinear dimension reduction method and modified matrix R dimensionality reduction method. Experimental results showed that the reconstruction spectral data through the residual compensation of weighted spectral dimension reduction method based on Modified LMS had higher spectral accuracy and chromaticity accuracy, and it still had a stable color accuracy in the case of different observation view angles. In conclusion, this paper proposed a residual compensation of weighted spectral dimension reduction method based on modified LMS, the spectral data reduced by this method had a good spectral accuracy and chromaticity, as well as a good practicability. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
渝公网安备 50010702501716号