Using vague knowledge for image description

Fuzzy logic in the field of image processing is becoming more and more important. Image quality is improving, but data contains different kinds of uncertainty which have to be handled using computerized analysis. These uncertainties can be found particularly in medical image data. In this paper, the handling of such uncertainties using methods such as the natural language of medical experts and iconic fuzzy sets for the description and recognition of anatomical structures in magnetic resonance tomograms (MRT) of human heads are presented.

[1]  Yutaka Hata,et al.  Decomposition of the brain portions by fuzzy inference techniques , 1996, Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium.

[2]  S. Pal,et al.  Image enhancement using fuzzy set , 1980 .

[3]  William Stanford,et al.  The fuzzy Hough transform-feature extraction in medical images , 1994, IEEE Trans. Medical Imaging.

[4]  Joon Hee Han,et al.  A fuzzy approach to edge detection and representation , 1997, Proceedings of 6th International Fuzzy Systems Conference.

[5]  Dana H. Ballard,et al.  Generalizing the Hough transform to detect arbitrary shapes , 1981, Pattern Recognit..

[6]  Yutaka Hata,et al.  3D automatic extraction method of the brain regions aided by fuzzy matching techniques , 1996, Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium.

[7]  Timothy Poston,et al.  Fuzzy Hough transform , 1994, Pattern Recognit. Lett..

[8]  Wen-Hsiang Tsai,et al.  Scale- and orientation-invariant generalized hough transform3-a new approach , 1991, Pattern Recognit..

[9]  Sankar K. Pal,et al.  Fuzzy models for pattern recognition , 1992 .

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

[11]  Azriel Rosenfeld,et al.  The fuzzy geometry of image subsets , 1984, Pattern Recognit. Lett..

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

[13]  J. Hiltner,et al.  Knowledge representation in a world with vague concepts , 1996 .

[14]  Azriel Rosenfeld,et al.  Fuzzy Digital Topology , 1979, Inf. Control..

[15]  Witold Pedrycz,et al.  Fuzzy sets in pattern recognition: Methodology and methods , 1990, Pattern Recognit..

[16]  Yutaka Hata,et al.  Fuzzy Logic Approach to 3D Magnetic Resonance Image Segmentation , 1997, IPMI.

[17]  Dortmunder Fuzzy-Tage,et al.  Fuzzy Logic : Theorie und Praxis : 2. Dortmunder Fuzzy-Tage, Dortmund, 9./10. Juni 1992 , 1993 .