全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
测绘学报  2015 

复杂水体边界提取的改进正交T-Snake模型

DOI: 10.11947/j.AGCS.2015.20140404, PP. 670-677

Keywords: 拓扑自适应动态轮廓(T-Snake)模型,河中岛,初始轮廓,分形维数,边界提取

Full-Text   Cite this paper   Add to My Lib

Abstract:

引入拓扑自适应动态轮廓(T-Snake)模型并进行了改进,设计了合适的能量函数,提出了目标内部岛状空洞引起的拓扑冲突的检测与处理机制,实现了包含河中岛的复杂河流边界的精确提取。针对模型初始轮廓需手动构造的缺点,利用影像分形维数最小值获取水体内部区域并实现轮廓自动初始化。试验表明,该方法可有效提取水体深凹边界和含河中岛的河流边界,在精度和效率上优于传统Snake和GVFSnake模型。

References

[1]  JIANG H, FENG M, ZHU Y, et al. An Automated Method for Extracting Rivers and Lakes from LandSat Imagery[J]. Remote Sensing, 2014, 6(6): 5067-5089.
[2]  YANG Shuwen, XUE Chongsheng, LIU Tao, et al. A Method of Small Water Information Automatic Extraction from TM Remote Sensing Images[J]. Acta Geodaetica et Cartographica Sinica, 2010, 39(6): 611-617. (杨树文, 薛重生, 刘涛, 等. 一种利用TM影像自动提取细小水体的方法[J]. 测绘学报, 2010, 39(6): 611-617.)
[3]  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. (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.)
[4]  KASS M, WITKIN A, TERZOPOULOS D. Snakes: Active Contour Models[J]. International Journal of Computer Vision, 1988, 1(4): 321-331.
[5]  WU Liang, HU Yun'an. Balloon Snake with Adjustable Expansion Coefficient in Road Contour Extraction[J]. Acta Geodaetica et Cartographica Sinica, 2011, 40(1): 71-77. (吴亮, 胡云安. 膨胀系数可调的Balloon Snake方法在道路轮廓提取中的应用[J]. 测绘学报, 2011, 40(1): 71-77.)
[6]  HAN Min, SUN Yang. A Method of Vector Edge Updating Based on Grouping Snake Model in GIS[J]. Acta Geodaetica et Cartographica Sinica, 2009, 38(2): 168-174. (韩敏, 孙杨. 一种基于分组式蛇模型的GIS矢量边界更新方法[J]. 测绘学报, 2009, 38(2): 168-174.)
[7]  DILLABAUGH C R, NIEMANN K O, RICHARDSON D E. Semi-Automated Extraction of Rivers from Digital Imagery[J]. GeoInformatica, 2002, 6(3): 263-284.
[8]  MIAO Lixin, TANG Shouzheng, LI Xia, et al. Extract Reservoir Water Area Automatically Using Masked Active Contour Model from Multispectral Remote Sensing Images[J]. Research of Soil and Water Conservation, 2010, 17(5): 7-11. (苗立新, 唐守正, 李霞,等. 利用掩膜主动轮廓模型提取水库水面面积[J]. 水土保持研究, 2010, 17(5): 7-11.)
[9]  XU C Y, PRINCE J L. Snakes, Shapes, and Gradient Vector Flow[J]. IEEE Transactions on Image Processing, 1998, 7(3): 359-369.
[10]  HU Qian, ZHANG Feng, LIU Renyi, et al. Land-sea Boundary Extraction Based on Gradient Vector Flow and Active Contour Model[J]. Journal of Zhejiang University: Science Edition, 2013, 40(6): 698-704. (胡倩, 张丰, 刘仁义,等. 基于梯度矢量流和主动轮廓模型的海陆边界提取[J]. 浙江大学学报: 理学版, 2013, 40(6): 698-704.)
[11]  SHENG G F, YANG W, DENG X P, et al. Coastline Detection in Synthetic Aperture Radar (SAR) Images by Integrating Watershed Transformation and Controllable Gradient Vector Flow (GVF) Snake Model[J]. IEEE Journal of Oceanic Engineering, 2012, 37(3): 375-383.
[12]  ZHU Shulong, MENG Weichan, ZHU Baoshan. Irregular Water Boundary Extraction Using GVF Snake[J]. Journal of Remote Sensing, 2013, 17(4): 742-758. (朱述龙, 孟伟灿, 朱宝山. 运用GVF Snake算法提取水域的不规则边界[J]. 遥感学报, 2013, 17(4): 742-758.)
[13]  MCLNERNEY T, TERZOPOULOS D. T-Snakes: Topology Adaptive Snakes[J]. Medical Image Analysis, 2000, 4(2): 73-91.
[14]  BISCHOFF S, KOBBELT L P. Snakes with Topology Control [J]. The Visual Computer, 2004, 20(4): 217-228.
[15]  SUN Zheng. Coronary Vessel Detection and Motion Tracking Based on T-Snake Model[J]. Journal of Optoelectronics·Laser, 2007, 18(10): 1260-1264. (孙正. 基于T-snake模型的冠状动脉血管提取和运动跟踪[J]. 光电子·激光, 2007, 18(10): 1260-1264.)
[16]  ZHOU Jie, JIANG Xiaohua, CHENG Liuquan, et al. Coronary Artery Edge Detection Based on an Orthogonal T-Snake Model[J]. Journal of Tsinghua University: Science and Technology, 2009, 49(1): 41-44. (周洁, 蒋晓华, 程流泉,等. 基于正交T-Snake模型的冠状动脉边缘检测[J]. 清华大学学报: 自然科学版, 2009, 49(1): 41-44.)
[17]  ZHENG S. An Intensive Restraint Topology Adaptive Snake Model and Its Application in Tracking Dynamic Image Sequence[J]. Information Sciences, 2010, 180(16): 2940-2959.
[18]  SUN F R, LIU Z, LI Y L, et al. Improved T-Snake Model Based Edge Detection of the Coronary Arterial Walls in Intravascular Ultrasound Images[C]//Proceedings of the 3rd International Conference on Bioinformatics and Biomedical Engineering. Beijing, China: IEEE, 2009: 1-4.
[19]  DIAO X F, ZHANG X Y, WANG T F, et al. Robust Topology-adaptive Snakes for Medical Ultrasonic Image Segmentation[C]//Proceedings of the 3rd International Conference on Biomedical Engineering and Informatics. Yantai, China: IEEE, 2010: 527-530.
[20]  YUAN Yanhong, NI Dong. Segmentation of the Left Ventricle Myocardium in Echocardiography Based on T-Snake Model[J]. Journal of Biomedical Engineering Research, 2013, 32(1): 7-11, 21. (袁艳红, 倪东. 基于T-Snake模型的超声左心室心肌分割方法的研究[J]. 生物医学工程研究, 2013, 32(1): 7-11, 21.)
[21]  LIANG B Q, WENG Q H, TONG X H. An Evaluation of Fractal Characteristics of Urban Landscape in Indianapolis, USA, Using Multi-sensor Satellite Images[J]. International Journal of Remote Sensing, 2013, 34(3): 804-823.
[22]  YU Zifan, LIN Zongjian. Arithmetic Research of Fractal Dimension with Image Face Based on Fractional Brownian Motion[J]. Geomatics and Information Science of Wuhan University, 2005, 30(2): 161-165. (于子凡, 林宗坚. 基于图像表面积的分形布朗运动分数维算法研究[J]. 武汉大学学报: 信息科学版, 2005, 30(2): 161-165.)
[23]  GONZALEZ RC, WOODS RE. Digital Image Processing[M]. New York: John Wiley and Song, 1991.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133