On Fuzzy Labelled Image Segmentation Based on Perceptual Features

One of the monolithic goals of Computer Vision (CV) is to automatically interpret general digital images of arbitrary scenes. Although this goal has produced a vast array of research, a solution to the general problem has not been found. The difficulty of this goal has caused the field to focus on smaller, more constrained problems related with the different tasks involved, such as: noise removal, smoothing, and sharpening of contrast -low-level-; segmentation of images to isolate objects and regions, and description and recognition of the segmented regions -intermediate-level-; and interpretation of the scene -high-level-.

[1]  Jing Li Wang,et al.  Color image segmentation: advances and prospects , 2001, Pattern Recognit..

[2]  James M. Keller,et al.  Fuzzy Models and Algorithms for Pattern Recognition and Image Processing , 1999 .

[3]  F. Russo,et al.  Edge extraction by FIRE operators , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[4]  Sankar K. Pal,et al.  A review on image segmentation techniques , 1993, Pattern Recognit..

[5]  Eduard Montseny,et al.  On the use of image data information for getting a brightness' perceptual fuzzy model , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[6]  E. Montseny,et al.  Fuzzy contour detection based on a good approximation of the argument of the gradient vector , 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

[7]  Hamid R. Tizhoosh,et al.  Fast fuzzy edge detection , 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

[8]  R.N. Dave.  Boundary detection through fuzzy clustering , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[9]  Linda G. Shapiro,et al.  Image Segmentation Techniques , 1984, Other Conferences.

[10]  Been-Chian Chien,et al.  A color image segmentation approach based on fuzzy similarity measure , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[11]  James C. Bezdek,et al.  A geometric approach to edge detection , 1998, IEEE Trans. Fuzzy Syst..

[12]  Constantin V. Negoita,et al.  On Fuzzy Systems , 1978 .

[13]  Eduard Montseny,et al.  Obtaining the relevant colors of an image through stability-based fuzzy color histograms , 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

[14]  James M. Keller,et al.  Using a fuzzy morphological structural element for image segmentation , 2000, PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500).