Using pattern recognition to automatically localize reflection hyperbolas in data from ground penetrating radar

[1]  Richard O. Duda,et al.  Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.

[2]  Franklin C. Crow,et al.  Summed-area tables for texture mapping , 1984, SIGGRAPH.

[3]  Kou-Yuan Huang,et al.  Image processing of seismograms: (a) Hough transformation for the detection of seismic patterns; (b) thinning processing in the seismogram , 1985, Pattern Recognit..

[4]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Josef Kittler,et al.  A survey of the hough transform , 1988, Comput. Vis. Graph. Image Process..

[6]  Toru Kaneko Radar Image Processing for Locating Underground Linear Objects , 1990, MVA.

[7]  A. A. Soliman Image Processing and Neural Network Based Analysis of Cell Kinetic Behavior , 1993 .

[8]  Yoav Freund,et al.  A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.

[9]  Yoav Freund,et al.  Experiments with a New Boosting Algorithm , 1996, ICML.

[10]  Mansor Nakhkash,et al.  Automatic detection of buried utilities and solid objects with GPR using neural networks and pattern recognition , 2000 .

[11]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[12]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[13]  Waleed Al-Nuaimy,et al.  Image processing and neural network techniques for automatic detection and interpretation of ground penetrating radar data , 2002 .

[14]  Rainer Lienhart,et al.  An extended set of Haar-like features for rapid object detection , 2002, Proceedings. International Conference on Image Processing.

[15]  Rainer Lienhart,et al.  Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection , 2003, DAGM-Symposium.

[16]  Paulo Menezes,et al.  Human-robot interaction based on Haar-like features and eigenfaces , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[17]  Andreas Zell,et al.  Real-time object tracking for soccer-robots without color information , 2004, Robotics Auton. Syst..

[18]  A. Barczak,et al.  Real-time hand tracking using a set of cooperative classifiers based on Haar-like features A ndre , 2005 .

[19]  A. Simi,et al.  Hough transform based automatic pipe detection for array GPR: Algorithm development and on-site tests , 2008, 2008 IEEE Radar Conference.

[20]  Gary R. Bradski,et al.  Learning OpenCV - computer vision with the OpenCV library: software that sees , 2008 .

[21]  Miro Govedarica,et al.  A new method to simultaneously estimate the radius of a cylindrical object and the wave propagation velocity from GPR data , 2009, Comput. Geosci..

[22]  Lu Wang,et al.  Automatic Feature Recognition for GPR Image Processing , 2010 .

[23]  Huanhuan Chen,et al.  Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).