Corner Detection Using Fuzzy Principles

Reliable corner detection is an important task in pattern recognition applications. In this chapter an approach based on fuzzy-rules to detect corners even under imprecise information is presented. The uncertainties arising due to various types of imaging defects such as blurring, illumination change, noise, et cetera. Fuzzy systems are well known for efficient handling of impreciseness. In order to handle the incompleteness arising due to imperfection of data, it is reasonable to model corner properties by a fuzzy rule-based system. The robustness of the proposed algorithm is compared with well known conventional detectors. The performance is tested on a number of benchmark test images to illustrate the efficiency of the algorithm in noise presence. DOI: 10.4018/978-1-61350-429-1.ch015

[1]  Lily R. Liang,et al.  Competitive fuzzy edge detection , 2003, Appl. Soft Comput..

[2]  Hamid R. Tizhoosh.  Fast and Robust Fuzzy Edge Detection , 2003 .

[3]  Sankar K. Pal,et al.  Theoretical quantification of shape distortion in fuzzy Hough transform , 2005, Fuzzy Sets Syst..

[4]  Qinghua Hu,et al.  Uncertainty measures for fuzzy relations and their applications , 2007, Appl. Soft Comput..

[5]  Tom Drummond,et al.  Faster and Better: A Machine Learning Approach to Corner Detection , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Fabrizio Russo,et al.  FIRE operators for image processing , 1999, Fuzzy Sets Syst..

[7]  Hans P. Morevec.  Towards automatic visual obstacle avoidance , 1977, IJCAI 1977.

[8]  Farzin Mokhtarian,et al.  Performance evaluation of corner detectors using consistency and accuracy measures , 2006, Comput. Vis. Image Underst..

[9]  Annamária R. Várkonyi-Kóczy.  Fuzzy logic supported corner detection , 2008, J. Intell. Fuzzy Syst..

[10]  Martin A. Fischler,et al.  Locating Perceptually Salient Points on Planar Curves , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  F. Russo,et al.  Impulse noise cancellation in image data using a two-output nonlinear filter , 2004 .

[12]  In-So Kweon,et al.  Automatic edge detection using 3 x 3 ideal binary pixel patterns and fuzzy-based edge thresholding , 2004, Pattern Recognit. Lett..

[13]  Gour C. Karmakar,et al.  A generic fuzzy rule based image segmentation algorithm , 2002, Pattern Recognit. Lett..

[14]  Olivier Strauss,et al.  Fuzzy edge detection for omnidirectional images , 2008, Fuzzy Sets Syst..

[15]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[16]  Stephen M. Smith,et al.  SUSAN—A New Approach to Low Level Image Processing , 1997, International Journal of Computer Vision.

[17]  M. Emin Yüksel,et al.  Edge detection in noisy images by neuro-fuzzy processing , 2007 .

[18]  Roland T. Chin,et al.  On the Detection of Dominant Points on Digital Curves , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Azriel Rosenfeld,et al.  Angle Detection on Digital Curves , 1973, IEEE Transactions on Computers.

[20]  Azriel Rosenfeld,et al.  Gray-level corner detection , 1982, Pattern Recognit. Lett..

[21]  Han Wang,et al.  Analysis of gray level corner detection , 1999, Pattern Recognit. Lett..

[22]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[23]  Nicu Sebe,et al.  Wavelet-Based Salient Points: Applications to Image Retrieval Using Color and Texture Features , 2000, VISUAL.

[24]  Cordelia Schmid,et al.  Evaluation of Interest Point Detectors , 2000, International Journal of Computer Vision.

[25]  Roland T. Chin,et al.  Scale-Based Detection of Corners of Planar Curves , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[26]  Larry S. Davis,et al.  A Corner-Finding Algorithm for Chain-Coded Curves , 1977, IEEE Transactions on Computers.

[27]  Malay Kumar Kundu,et al.  Handling of impreciseness in gray level corner detection using fuzzy set theoretic approach , 2008, Appl. Soft Comput..

[28]  Weinan Chen,et al.  Corner Detection and Interpretation on Planar Curves Using Fuzzy Reasoning , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[29]  Jie Chen,et al.  The Comparison of Two Typical Corner Detection Algorithms , 2008, 2008 Second International Symposium on Intelligent Information Technology Application.