DocumentCode :
2541597
Title :
An interval approach to fuzzy surroundedness and fuzzy spatial relations
Author :
Karbou, F. ; Karbou, F.
Author_Institution :
Sale, Morocco
fYear :
2000
fDate :
2000
Firstpage :
100
Lastpage :
104
Abstract :
To describe a picture, spatial relations between image regions provide information concerning relative spatial position of two regions. This information could be for example: one region is left of another region. The definition of such entity is not easy in general and the manner in which spatial data is modeled affects important aspects of its use. So how to model a situation in which both the data and relationships are imprecise? The most useful characteristic of the human language is its ability to describe spatial relations. Giving a defined reference, one can describe an object as left or right of the reference. However, under the same description (left of the reference for example), objects could not have the same position which implies the use of the degree of spatial relations. We describe our methodology using examples introduced in (Gader, 1997; Wang and Keller, 1997). These examples were studied by other authors and were difficult to treat because of the complexity of defining degrees of spatial relations conform with the human perception. We also compare our approach with other approaches and introduce our concept for a GIS technology. Our methodology is particularly suitable for the nature of the geographical information. We present a new approach based on successive cuts of the image horizontally, vertically, or following an oblique direction
Keywords :
fuzzy set theory; geographic information systems; spatial reasoning; visual databases; GIS; fuzzy spatial relations; fuzzy surroundedness; geographical information system; image regions; interval approach; spatial data model; spatial position; spatial relations; Bellows; Birds; Equations; Humans; Image restoration; Layout; Meteorology; Object oriented programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6274-8
Type :
conf
DOI :
10.1109/NAFIPS.2000.877396
Filename :
877396
Link To Document :
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