电光与控制, 2016, 23 (11): 73, 网络出版: 2016-11-30  

一种基于广义似然比的最小方差活动轮廓模型

A Minimum Variance Active Contour Model Based on Generalized Likelihood Ratio
作者单位
南京航空航天大学自动化学院, 南京 211106
引用该论文

琚映云, 周鑫, 翟济云. 一种基于广义似然比的最小方差活动轮廓模型[J]. 电光与控制, 2016, 23(11): 73.

JU Ying-yun, ZHOU Xin, ZHAI Ji-yun. A Minimum Variance Active Contour Model Based on Generalized Likelihood Ratio[J]. Electronics Optics & Control, 2016, 23(11): 73.

参考文献

[1] 谢立,胡玲玲,吕一品,等.面向智能视频监控系统运动目标检测的轮廓提取方法[J].东南大学学报: 自然科学版,2012,42(s1): 31-35.(XIE L, HU L L, LYU Y P, et al.A novel contour extraction method for motion object detection in surveillance video systems[J].Journal of Southeast University: Natural Science Edition, 2012, 42(s1): 31-35.)

[2] 张燕芳.基于遥感图像的大规模城市建模中的建筑物轮廓提取[D].西安: 西安电子科技大学,2014.(ZHANG Y F.Building contour extraction of large-scale city modeling based on remote sensing image[D].Xian: Xidian University, 2014.)

[3] KASS M, WITKIN A, TERZOPOULOS D.Snakes: active contour models[J].International Journal of Computer Vision, 1988, 1(4): 321-331.

[4] 王艳.结合小波变换的边缘活动轮廓模型[J].计算机工程与应用,2014,50(10): 27-30.(WANG Y.Edge-based active contour models combined with wavelet transform[J].Computer Engineering and Applications, 2014, 50(10): 27-30.)

[5] 冯玉玲,何传江,李梦.不用高斯平滑的边缘活动轮廓模型[J].计算机工程与应用, 2010, 46(36): 192-194.(FENG Y L, HE C J, LI M.Edge-based active contour model without Gaussian smoothing[J].Computer Engineering and Applications, 2010, 46(36): 192-194.)

[6] XU C, PRINCE J L.Snakes, shapes, and gradient vector flow[J].IEEE Transactions on Image Processing, 1998, 7(3): 359-369.

[7] LI B, ACTON S T.Active contour external force using vector field convolution for image segmentation[J].IEEE Transactions on Image Processing, 2007, 16(8): 2096-2106.

[8] CHAKRABORTY A, STAIB L H, DUNCAN J S.Deformable boundary finding influenced by region homogeneity[C]//Computer Society Conference on Computer Vision and Pattern Recognition.IEEE, 1994: 624-627.

[9] FIGUEIREDO M A T, LEITO J M N, JAIN A K.Adaptive parametrically deformable contours[C]//Energy Minimization Methods in Computer Vision and Pattern Recognition.Springer Berlin Heidelberg, 1997: 35-50.

[10] ATLT A V, BAYRAM I.Image segmentation with global active contours[C]//The 20th Signal Processing and Communications Applications Conference (SIU), IEEE, 2012: 1-4.

[11] MUMFORD D, SHAH J.Optimal approximations by piecewise smooth functions and associated variational problems[J].Communications on Pure and Applied Mathematics, 1989, 42(5): 577-685.

[12] CHAN T F, VESE L.Active contours without edges[J].IEEE Transactions on Image Processing, 2001, 10(2): 266-277.

[13] LI C, XU C, GUI C, et al.Level set evolution without re-initialization: a new variational formulation[C] //IEEE Computer Society Conference on Computer Vision and Pattern Recognition.IEEE, 2005: 430-436.

[14] LI C, KAO C Y, GORE J C, et al.Minimization of region-scalable fitting energy for image segmentation[J].IEEE Transactions on Image Processing, 2008, 17(10): 1940-1949.

[15] ZHU S C, YUILLE A.Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996, 18(9): 884-900.

琚映云, 周鑫, 翟济云. 一种基于广义似然比的最小方差活动轮廓模型[J]. 电光与控制, 2016, 23(11): 73. JU Ying-yun, ZHOU Xin, ZHAI Ji-yun. A Minimum Variance Active Contour Model Based on Generalized Likelihood Ratio[J]. Electronics Optics & Control, 2016, 23(11): 73.

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!