[1] |
吴一全, 孟天亮, 吴诗婳, 等. 基于二维倒数灰度熵的河流遥感图像分割[J]. 华中科技大学学报(自然科学版), 2014, 42(12):70-74, 80. WU Yiquan, MENG Tianliang, WU Shihua, et al. Remote sensing images segmentation of rivers based on two-dimensional reciprocal gray entropy[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2014, 42(12):70-74, 80.
|
[2] |
慎利, 唐宏, 王世东, 等. 结合空间像素模板和Adaboost算法的高分辨率遥感影像河流提取[J]. 测绘学报, 2013, 42(3):344-350. SHEN Li, TANG Hong, WANG Shidong, et al. River extraction from the high-resolution remote sensing image based on spatially correlated pixels template and Adaboost algorithm[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(3):344-350.
|
[3] |
吴一全, 李海杰, 宋昱. 基于多特征和WSVM的SAR图像河流目标检测[J]. 系统工程与电子技术, 2015, 37(6):1288-1293. WU Yiquan, LI Haijie, SONG Yu. Target detection algorithm for rivers in SAR images based on multi-features and WSVM[J]. Systems Engineering and Electronics, 2015, 37(6):1288-1293.
|
[4] |
BLAIN C A, LINZELL R, MCKAY P. Simple methodology for deriving continuous shorelines from imagery:application to rivers[J]. Journal of Waterway, Port, Coastal and Ocean Engineering, 2013, 139(5):365-382.
|
[5] |
ZHAO Jianjun, YU Hheng, LI Helin, et al. The edge extraction of yellow river model based on the principle of SUSAN[C]//Proceedings of the 2nd IEEE International Conference on Computing, Control and Industrial Engineering. Wuhan, China:IEEE, 2011:288-291.
|
[6] |
SUN Jinping, MAO Shiyi. River detection algorithm in SAR images based on edge extraction and ridge tracing techniques[J]. International Journal of Remote Sensing, 2011, 32(12):3485-3494.
|
[7] |
BADURA P, WIECLAWEK W. Calibrating level set approach by granular computing in computed tomography abdominal organs segmentation[J]. Applied Soft Computing, 2016, 49:887-900.
|
[8] |
MONDAL A, GHOSH S, GHOSH A. Robust global and local fuzzy energy based active contour for image segmentation[J]. Applied Soft Computing, 2016, 47:191-215.
|
[9] |
LI Qiang, DENG Tingquan, XIE Wei. Active contours driven by divergence of gradient vector flow[J]. Signal Processing, 2016, 120:185-199.
|
[10] |
LIU Weiping, SHANG Yanfeng, YANG Xin. Active contour model driven by local histogram fitting energy[J]. Pattern Recognition Letters, 2013, 34(6):655-662.
|
[11] |
ZHOU Sanping, WANG Jinjun, ZHANG S, et al. Active contour model based on local and global intensity information for medical image segmentation[J]. Neurocomputing, 2016, 186:107-118.
|
[12] |
WANG Hui, HUANG Tingzhu, XU Zongben, et al. An active contour model and its algorithms with local and global Gaussian distribution fitting energies[J]. Information Sciences, 2014, 263:43-59.
|
[13] |
WANG Hui, HUANG Tingzhu, XU Zhi, et al. A two-stage image segmentation via global and local region active contours[J]. Neurocomputing, 2016, 205:130-140.
|
[14] |
ZHOU Yan, SHI Weiren, CHEN Wei, et al. Active contours driven by localizing region and edge-based intensity fitting energy with application to segmentation of the left ventricle in cardiac CT images[J]. Neurocomputing, 2015, 156:199-210.
|
[15] |
WU Yue, MA Wenping, GONG Maoguo, et al. Novel fuzzy active contour model with kernel metric for image segmentation[J]. Applied Soft Computing, 2015, 34:301-311.
|
[16] |
JIANG Xiaoliang, WANG Qiang, HE Biao, et al. Robust level set image segmentation algorithm using local correntropy-based fuzzy c-means clustering with spatial constraints[J]. Neurocomputing, 2016, 207:22-35.
|
[17] |
吴诗婳, 吴一全, 周建江, 等. 利用倒数灰度熵和改进Chan-Vese模型进行SAR河流图像分割[J]. 测绘学报, 2015, 44(11):1255-1262. DOI:10.11947/j.AGCS.2015.20140519. WU Shihua, WU Yiquan, ZHOU Jianjiang, et al. SAR river image segmentation based on reciprocal gray entropy and improved Chan-Vese model[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(11):1255-1262. DOI:10.11947/j.AGCS.2015.20140519.
|
[18] |
SONG Yu, WU Yiquan, DAI Yimian. A new active contour remote sensing river image segmentation algorithm inspired from the cross entropy[J]. Digital Signal Processing, 2016, 48:322-332.
|
[19] |
HAN Bin, WU Yiquan. A novel active contour model based on modified symmetric cross entropy for remote sensing river image segmentation[J]. Pattern Recognition, 2017, 67:396-409.
|
[20] |
CHAN T F, VESE L A. Active contours without edges[J]. IEEE Transactions on Image Processing, 2001, 10(2):266-277.
|
[21] |
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, 2010, 19(12):3243-3254.
|
[22] |
HAN Bin, WU Yiquan. Active contours driven by global and local weighted signed pressure force for image segmentation[J]. Pattern Recognition, 2019, 88:715-728.
|
[23] |
HAN Bin, WU Yiquan. A hybrid active contour model driven by novel global and local fitting energies for image segmentation[J]. Multimedia Tools and Applications, 2018, 77(21):29193-29208.
|
[24] |
HAN Bin, WU Yiquan. River extraction of SAR images via active contours driven by adaptive global fitting energies[J]. International Journal of Remote Sensing, 2018, 39(20):6995-7013.
|
[25] |
RODTOOK A, KIRIMASTHONG K, LOHITVISATE W, et al. Automatic initialization of active contours and level set method in ultrasound images of breast abnormalities[J]. Pattern Recognition, 2018, 79:172-182.
|