| 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。 |
| 关键词: 扫描仪 扫描仪特征化 人工神经网络 支持向量机（SVM） |
| DOI： |
| 分类号:TS803; TS801.8 |
| 基金项目: |
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| Characterization of Color Scanners Based on SVM |
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LI Bin, ZHANG Yang, ZHANG Yi-xin
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Jiangnan University, Wuxi 214122, China
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| Abstract: |
| 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. |
| Key words: scanner characterization of scanner artificial neural network support vector machine |
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