光电工程, 2015, 42 (8): 66, 网络出版: 2015-09-08  

结合局部信息改进的C-V超声图像分割模型

The Improved C-V Ultrasound Image Segmentation Model of Combining Local Information
郑伟 1,2,*张晶 1,2李凯玄 1,2郝冬梅 3
作者单位
1 河北大学电子信息工程学院, 河北 保定 071002
2 河北省数字医疗工程重点实验室, 河北 保定 071002
3 河北大学附属医院, 河北 保定 071002
引用该论文

郑伟, 张晶, 李凯玄, 郝冬梅. 结合局部信息改进的C-V超声图像分割模型[J]. 光电工程, 2015, 42(8): 66.

ZHENG Wei, ZHANG Jing, LI Kaixuan, HAO Dongmei. The Improved C-V Ultrasound Image Segmentation Model of Combining Local Information[J]. Opto-Electronic Engineering, 2015, 42(8): 66.

参考文献

[1] Chan T, Vese L. Active contours without edges [J]. IEEE Transactions on Image Processing(S1057-7149), 2001, 10(2): 266-277.

[2] CHEN Li, ZHOU Yue. GACV: geodesic-aided C-V method [J]. Pattern Recognition(S0031-3203), 2006, 39(7): 1391-1395.

[3] ZHANG Kaihua, ZHANG Lei, SONG Huihui, et al. Active contours with selective local or global segmentation: A new formulation and level set method [J]. Image and Vision Computing(S0262-8856), 2010, 28(4): 668-676.

[4] Alipour S, Shanbehzadeh J. Fast automatic medical image segmentation based on spatial kernel fuzzy c-means on level set method [J]. Machine Vision and Applications(S0932-8092), 2014, 25: 1469-1488.

[5] Piovano J, Rousson M, Papadopoulo T. Efficient segmentation of piecewise smooth images [J]. Scale Space and Variational Methods in Computer Vision(S0302-9743), 2007, 44(85): 709-720.

[6] LI Chunming, KAO Chuiyen, Gore J C, et al. Implicit active contours driven by local binary fitting energy [C]// IEEE Comference on Computer Vision and Pattern Recognition, Washington, USA, 2007: 1-7.

[7] LI Chunming, KAO Chuiyen, Gore J C, et al. Minimization of region-scalable fitting energy for image segmentation [J]. IEEE Transactions on Image Processing(S1057-7149), 2008, 17(10): 1940-1949.

[8] WANG Li, LI Chunming, SUN Quansen, et al. Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation [J]. Computerized Medical Imaging and Graphics(S0895-6111), 2009, 33(7): 520-531.

[9] 刘瑞娟, 何传江, 原野. 融合局部和全局图像信息的活动轮廓模型 [J].计算机辅助设计与图形学学报, 2012, 24(3): 364-371. LIU Ruijuan, HE Chuanjiang, YUAN Ye. Active contours driven by local and global image fitting energy [J]. Journal of Computer-aided Design & Computer Graphics, 2012, 24(3): 364-371.

[10] 张建伟, 方林, 陈允杰, 等. 基于活动轮廓模型的左心室 MR图像分割 [J].电子学报, 2011, 39(11): 2670-2673. ZHANG Jianwei, FANG Lin, CHEN Yunjie, et al. Left ventricle MRI segmentation based on active contour model [J]. Acta Electronica Sinica, 2011, 39(11): 2670-2673.

[11] 王相海, 金弋博. 高光谱海岸带区域分割的活动轮廓模型 [J].中国图象图形学报, 2013, 18(8): 1031-1037. WANG Xianghai, JIN Yibo. The active contour model for segmentation of coastal hyperspectral remote sensing image [J]. Journal of Image and Graphics, 2013, 18(8): 1031-1037.

[12] CHEN Kan, LI Bin, TIAN Lianfang, et al. Fuzzy speed function-based active contour model for segmentation of pulmonary nodules [J]. Bio-Medical Materials and Engineering(S0959-2989), 2014, 24(1): 539-547.

[13] LI Chunming, XU Chenyang, GUI Changfeng, et al. Distance regularized level set evolution and its application to image segmentation [J]. IEEE Transactions on Image Processing(S1057-7149), 2010, 19(12): 3243-3254.

[14] Vovk U, Pernus F, Likar B. A review of methods for correction of intensity inhomogeneity in MRI [J]. IEEE Transactions on Medical Imaging(S0278-0062), 2007, 26(3): 405-421.

[15] Collins D L, Holms C J, Peters T M, et al. Automatic 3-D model-based neuroanatomical segmentation [J]. Human Brain Mapping(S1065-9471), 1995, 3(3): 190-208.

郑伟, 张晶, 李凯玄, 郝冬梅. 结合局部信息改进的C-V超声图像分割模型[J]. 光电工程, 2015, 42(8): 66. ZHENG Wei, ZHANG Jing, LI Kaixuan, HAO Dongmei. The Improved C-V Ultrasound Image Segmentation Model of Combining Local Information[J]. Opto-Electronic Engineering, 2015, 42(8): 66.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!