Brownian strings: A flexible linguistic description of images

In this paper, it is shown that Brownian strings can be interpreted as a simple method for linguistic description of images. Evolution of those strings causes changes in chain codes, which can be interpreted as approaching the final linguistic description of object detected on the image. Some methods for comparison of linguistic patterns in the form of chain codes are described.

[1]  Paul Wintz,et al.  Digital image processing (2nd ed.) , 1987 .

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

[3]  Arkadiusz Tomczyk,et al.  On the Relationship Between Active Contours and Contextual Classification , 2005, CORES.

[4]  Arkadiusz Tomczyk.  Active hypercontours and contextual classification , 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

[5]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[6]  Timothy F. Cootes,et al.  Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[7]  Piotr S. Szczepaniak,et al.  Practical Evaluation of Textual Fuzzy Similarity as a Tool for Information Retrieval , 2003, AWIC.

[8]  W. Pedrycz,et al.  An introduction to fuzzy sets : analysis and design , 1998 .

[9]  Piotr S. Szczepaniak,et al.  Fuzzy Similarity in E-Commerce Domains , 2002 .

[10]  S. Gottwald,et al.  Fuzzy sets, fuzzy logic, fuzzy methods with applications , 1995 .

[11]  David N. Levin,et al.  "Brownian Strings": Segmenting Images with Stochastically Deformable Contours , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Arkadiusz Tomczyk,et al.  Adaptive Potential Active Hypercontours , 2006, ICAISC.

[13]  Guillermo Sapiro,et al.  Geodesic Active Contours , 1995, International Journal of Computer Vision.

[14]  Piotr S. Szczepaniak,et al.  Internet Search Based on Text Intuitionistic Fuzzy Similarity , 2003, Intelligent Exploration of the Web.