参考文献/References:
[1]谢菲.图像纹理特征的提取和图像分类系统研究及实现[D].成都:电子科技大学,2009.
[2]Cortes C,Vapnik V.Support-vector networks[J].Machine Learning,1995,20(3):273-297.
[3]Cristianini N,Shawe Taylor J.An Introduction to Support Vector Machines andOther Kernel Based Learning Methods[M].London:Cambridge University Press,2000.
[4]高锦.基于SVM的图像分类[D].西安:西北大学,2010.
[5]胡旺,李志蜀.一种更简化而有效的粒子群优化算法[J].软件学报,2007,18(4):860-868.
[6]付燕,聂亚娜,靳玉萍,等.PSOSVM算法在肝脏B超图像识别中的应用[J].计算机测量与控制,2012,20(9):2491-2500.
[7]Osuna E,Freund R,Girosi F.Training support vector machines:An application to face detection[C]∥Proceedings of CVPR'97 Puerto Rico.San Juan:IEEE Computer Society,1997.
[8]翟俊海,赵文秀,王熙照.图像特征提取研究[J].河北大学学报:自然科学版,2009,29(1):106-112.
[9]汤海缨,庄天戈.计算机色彩模型在图像显示与分割中的应用[J].计算机学报,1999,22(41):375-382.
[10]苑丽红,付丽,杨勇,等.灰度共生矩阵提取纹理特征的实验结果分析[J].计算机应用,2009,29(4):1018-1021.
相似文献/References:
[1]庄玮,段锁林,徐亭婷,等.基于SVM的4类运动想象的脑电信号分类方法[J].常州大学学报(自然科学版),2014,(01):42.[doi:10.3969/j.issn.2095-0411.2014.01.010]
ZHUANG Wei,DUAN Suo-lin,XU Ting-ting.Research on Classification Method Based on SVM for the
FourClass Motor Imagery EEG[J].Journal of Changzhou University(Natural Science Edition),2014,(04):42.[doi:10.3969/j.issn.2095-0411.2014.01.010]
[2]冯琳琳,张兆志,王新颖,等.取代芳烃对发光菌急性毒性的QSAR研究[J].常州大学学报(自然科学版),2012,(04):8.
FENG Lin-lin,ZHANG Zhao-zhi,WANG Xin-ying,et al.QSAR Study on Acute Toxicity of Substituted Aromatic Compounds to
Photobacterium Phosphoreum[J].Journal of Changzhou University(Natural Science Edition),2012,(04):8.
[3]戴 静,严云洋,范 勇,等.基于BEMD和SVM的火焰检测算法[J].常州大学学报(自然科学版),2017,(02):71.[doi:10.3969/j.issn.2095-0411.2017.02.013]
DAI Jing,YAN Yunyang,FAN Yong,et al.Fire Detection Based on Bidimensional Empirical Mode Decomposition and Support Vector Machine[J].Journal of Changzhou University(Natural Science Edition),2017,(04):71.[doi:10.3969/j.issn.2095-0411.2017.02.013]
[4]马旭,刘应安,业宁,等.基于核PCA与SVM算法的木材缺陷识别[J].常州大学学报(自然科学版),2017,(03):60.[doi:10.3969/j.issn.2095-0411.2017.03.009]
MA Xu,LIU Yingan,YE Ning,et al.Application of KPCA and SVM to Wood Defect Recognition[J].Journal of Changzhou University(Natural Science Edition),2017,(04):60.[doi:10.3969/j.issn.2095-0411.2017.03.009]