[1] REYNA R A, HERNANDEZ N, ESTEVE D, et al. Segmenting images with support vector machines[C]//Proceedings of the 2000 International Conference on Image Processing. Piscataway, NJ:IEEE, 2000, 1:820-823. [2] YANG H Y, WANG X Y, WANG Q Y, et al. LS-SVM based image segmentation using color and texture information[J]. Journal of Visual Communication & Image Representation, 2012, 23(7):1095-1112. [3] MITERAN J, BOUILLANT S, BOURENNANE E. SVM approximation for real-time image segmentation by using an improved hyperrectangles-based method[J]. Real-Time Imaging, 2003, 9(3):179-188. [4] CHEN X, TIAN J. Segmentation of fingerprint images using linear classifier[J]. EURASIP Journal on Advances in Signal Processing, 2004, 2004(4):1-15. [5] 邓晓飞,徐蔚鸿.一种结合多特征的SVM图像分割方法[J].计算机工程与科学,2013,35(2):154-158.(DENG X F,XU W H.An SVM image segmentation method using multi-features[J]. Computer Engineering & Science, 2013, 35(2):154-158.) [6] 薛志东,隋卫平,李利军.一种SVM与区域增长相结合的图像分割方法[J].计算机应用,2007,27(2):463-465.(XUE Z D, SUI W P, LI L J. Interactive segmentation method with SVM and region growing[J]. Journal of Computer Applications, 2007, 27(2):463-465.) [7] MICHAILOVICH O V, TANNENBAUM A. Despeckling of medical ultrasound images[J]. IEEE Transactions on Ultrasonics Ferroelectrics & Frequency Control, 2006, 53(1):64-78. [8] 薛志东,王燕,李利军.SVM图像分割方法的研究[J].微计算机信息,2007,23(24):306-308.(XUE Z D, WANG Y, LI L J. The research on SVM segmentation method[J]. Microcomputer Information, 2007, 23(24):306-308.) [9] MITRA P, SHANKAR B U, PAL S K. Segmentation of multispectral remote sensing images using active support vector machines[J]. Pattern Recognition Letters, 2004, 25(9):1067-1074. [10] 曹健,李海生,蔡强,等.图像目标的特征提取技术研究[J].计算机仿真,2013,30(1):409-414.(CAO J, LI H S, CAI Q, et al. Research on feature extraction of image target[J]. Computer Simulation, 2013, 30(1):409-414.) [11] 郝衍,朱信忠,赵建民,等.基于图像颜色直方图及纹理特征提取的兴趣点凸包检索方法[J].微型电脑应用,2011,27(6):42-45.(HAO Y, ZHU X Z, ZHAO J M, et al. Home point retrieval method based on color histogram and texture feature extraction[J].Microcomputer Applications, 2011, 27(6):42-45.) [12] PATRICIO M A, MARAVALL D. Segmentation of text and graphics/images using the gray-level histogram Fourier transform[C]//Proceedings of the 2000 Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR). Berlin:Springer, 2000:757-766. [13] BAI X, WANG W. Saliency-SVM:an automatic approach for image segmentation[J]. Neurocomputing, 2014, 136(8):243-255. [14] HUTCHINSON M F, HOOG F R D. Smoothing noisy data with spline functions[J]. Numerische Mathematik, 1985, 47(1):99-106. [15] 芮杰,吴冰,秦志远,等.一种稳健的自适应图像平滑算法[J].中国图象图形学报,2005,10(1):54-58.(RUI J, WU B, QIN Z Y, et al. A robust adaptive image smoothing algorithm[J]. Journal of Image and Graphics, 2005, 10(1):54-58.) [16] 彭新俊,王翼飞.间隔v-支持向量机及其几何问题[J].模式识别与人工智能,2009,22(1):8-16.(PENG X J, WANG Y F. Total margin v-support vector machine and its geometric problem[J]. Pattern Recognition & Artificial Intelligence, 2009, 22(1):8-16.) [17] 奉国和.SVM分类核函数及参数选择比较[J].计算机工程与应用,2011,47(3):123-124.(FENG G H. Parameter optimizing for support vector machines classification[J]. Computer Engineering and Applications, 2011, 47(3):123-124.) [18] 卢照敢,许春梅,孙楠,等.采用改进高斯核的MLS-SVM人脸表情识别算法[J].计算机科学,2014,41(s1):132-134.(LU Z G, XU C M, SUN N, et al. Improved face emotion identification algorithm by MLS-SVM with modified Gauss kernel function[J]. Computer Science, 2014, 41(s1):132-134.) [19] MCFEETERS S K. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features[J]. International Journal of Remote Sensing, 1996, 17(7):1425-1432. [20] LI J, WANG H, LI S. Microscopic image segmentation method based on SVM[J]. International Journal of Signal Processing, Image Processing and Pattern Recognition, 2016, 9(2):179-188. [21] TIAN X, HU T. A method of debris image segmentation based on SVM[C]//IMSCCS'06:Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences. Piscataway, NJ:IEEE, 2006:307-311. [22] 王行甫,陈家伟.基于高斯核的SVM的参数选择[J].计算机系统应用,2014,23(7):242-245.(WANG X F, CHEN J W. Parameter selection of SVM with Gaussian kernel[J]. Computer Systems & Applications, 2014, 23(7):242-245.) [23] MIZUSHIMA A, LU R. An image segmentation method for apple sorting and grading using support vector machine and Otsu's method[J]. Computers & Electronics in Agriculture, 2013, 94:29-37. |