Title :
Modeling Spatial Relationships for Remote Sensing Image Processing Based on Fuzzy Set Theory
Author :
Zhige, Jia ; Xiaoli, Liu
Author_Institution :
Inst. of Seismol., China Earthquake Adm., Wuhan
Abstract :
Spatial information is a crucial aspect of image processing, computer vision and structural recognition for modeling context as well as resolving the uncertainties caused by the ambiguities in low-level features. This calls for the framework of fuzzy sets, which exhibits nice features to represent spatial imprecision, and which provides powerful tools for fusion, decision-making and reasoning. In this paper, we present that several spatial fuzzy relationships constructed from fuzzy set operators and norms, and suggest some potential applications in structural object recognition and image retrieval based on fuzzy spatial relationships.
Keywords :
fuzzy set theory; image recognition; image retrieval; object recognition; computer vision; decision making; fuzzy set operators; fuzzy set theory; image retrieval; remote sensing image processing; spatial fuzzy relationships; spatial information; structural object recognition; structural recognition; Computer vision; Context modeling; Fuzzy set theory; Fuzzy sets; Image processing; Image recognition; Image resolution; Remote sensing; Spatial resolution; Uncertainty; degree of inclusion; degree of intersection; equality index; fuzzy set theory; image processing; spatial relationships;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1446
