文章摘要
李 斌,张 扬,张逸新.基于SVM的彩色扫描仪特征化[J].包装工程,2011,32(3):81-83.
LI Bin,ZHANG Yang,ZHANG Yi-xin.Characterization of Color Scanners Based on SVM[J].Packaging Engineering,2011,32(3):81-83.
基于SVM的彩色扫描仪特征化
Characterization of Color Scanners Based on SVM
投稿时间:2010-11-29  修订日期:2011-02-10
DOI:
中文关键词: 扫描仪  扫描仪特征化  人工神经网络  支持向量机(SVM)
英文关键词: scanner  characterization of scanner  artificial neural network  support vector machine
基金项目:
作者单位
李 斌 江南大学 无锡 214122 
张 扬 江南大学 无锡 214122 
张逸新 江南大学 无锡 214122 
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中文摘要:
      研究了基于支持向量机(SVM)的彩色扫描仪特征化方法,分析了采用SVM回归法实现RGB色空间与CIELab色空间非线性变换的可能性。研究结果表明:L,a,b测试值与预期值的回归相关性达到99%以上,其中CIELab色差平均值、最大值和最小值分别为2.314 3,5.791 7和0.507 3;利用SVM回归法可满足扫描仪特征化的精度要求,体现了SVM在小样本拟合中的精度和时间优势。
英文摘要:
      Color scanner characterization method based on support vector machine (SVM) was studied. The feasibility of nonlinear transformation of RGB color space to CIELab color space using SVM regression was analyzed. The results showed that the correlativity is more than 99% between test value and predicted value of L, a, b, among which the average, maximum and minimum color differences are 2.314 3, 5.791 7, and 0.507 3. It was concluded that SVM regression method can satisfy the accuracy requirement of scanner characterization and has the advantages of precision and time for small sample fitting.
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