Title :
Spatial organization in 2D images
Author :
Miyajima, Koji ; Ralescu, Anca
Author_Institution :
Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan
Abstract :
Information about the spatial organization in an image is an important clue towards identifying, or interpreting the contents of the image. In this paper the authors present a fuzzy logic method of representation, recognition and description of spatial relations between regions in an image which takes into account shape, size, orientation, or more generally a region as a whole. The method can be applied equally to crisp and fuzzy regions of the image, or combinations of these. Several examples are used to illustrate the results given by this method
Keywords :
computer vision; fuzzy logic; image recognition; image representation; 2D images; crisp regions; description; fuzzy logic method; fuzzy regions; recognition; representation; spatial organization; Computer vision; Data mining; Fuzzy logic; Geometry; Gravity; Image processing; Image recognition; Laboratories; Object recognition; Shape;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343710
