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...

基于水平集方法的航拍图片人工区域的分割检测

, PP. 526-530

Keywords: 航拍图片,分形误差,离散余弦变换(DCT),MumfordShah模型,水平集方法

Full-Text   Cite this paper   Add to My Lib

Abstract:

提出航拍图片中人工区域分割检测的一种新方法.该方法以基于分形误差特征以及经过离散余弦变换得到的纹理边界作为约束,同时引入一种基于简化MumfordShah模型的水平集算法,通过演化该模型推导出的偏微分方程,从而得到航拍图片中人工区域与非人工区域的最优划分.该方法避开基于分形误差方法中由于阈值设置不当而产生的较大误差.实验表明本文方法的有效性.

References

[1]  Mayer H. AutomaticObject Extraction from Aerial Imagery—A Survey Focusing on Buildings. Computer Vision and Image Understanding, 1999, 74(2): 138-149
[2]  Li J, Najmi A, Gray R M. Image Classification by a Two-Dimensional Hidden Markov Model. IEEE Trans on Signal Processing, 2000, 48(2): 517-533
[3]  Reno A L, Booth D M. Using Models to Recognise Man-Made Objects. In: Proc of the 2nd IEEE Workshop on Visual Surveillance. Fort Collins, USA, 1999, 33-40
[4]  Chan T F, Vese L A. Active Contours without Edges. IEEE Trans on Image Processing, 2001, 10(2): 266-277
[5]  Sethian J A. Level Set Methods and Fast Marching Methods Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science. 2nd Edition. Cambridge, UK: Cambridge University Press, 1999
[6]  Yang X. The Principles and Applications of Partial Differential Equations in Image Processing. Shanghai, China: Shanghai Jiaotong University Press, 2003 (in Chinese) (杨 新. 图像偏微分方程的原理与应用.上海:上海交通大学出版社, 2003)
[7]  Castleman K R. Digital Image Processing. Opper Saddle River, USA: Prentice Hall, 1979 (Castleman K R, 著;朱志刚,等,译.数字图像处理.北京:电子工业出版社, 1998)
[8]  Solka J L, Marchette D J, Wallet B C. Identification of Man-Made Regions in Unmanned Aerial Vehicle Imagery and Videos. IEEE Trans on Pattern Analysis and Machine Intelligence, 1998, 20(8): 852-857
[9]  Smyrniotis C, Dutta K. A Knowledge-Based System for Recognizing Man-Made Objects in Aerial Images. In: Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Ann Arbor, USA, 1988, 111-117
[10]  Carlotto M J. Detecting Man-Made Features in SAR Imagery. In: Proc of the International Symposium on Geoscience and Remote Sensing. Lincoln, USA, 1996, Ⅰ: 34-36
[11]  Levitt S, Aghdasi F. Texture Measures for Building Recognition in Aerial Photographs. In: Proc of the South African Symposium on Communications and Signal Processing. Grahamstown, South African, 1997, 75-80
[12]  Cooper B E, Chenoweth D L, Selvage J E. Fractal Error for Detecting Man-Made Features in Aerial Images. Electronics Letters, 1994, 30(7): 554-555
[13]  Haala N, Brenner C. Interpretation of Urban Surface Models Using 2D Building Information. Computer Vision and Image Understanding, 1998, 72(2): 204-214
[14]  Randen T, Husoy J H. Filtering for Texture Classification: A Comparative Study. IEEE Trans on Pattern Recognition and Machine Intelligence, 1999, 21(4): 291-310

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133