Title :
Moving toward a learning fuzzy building recognition system
Author :
Levitt, Stephen ; Aghdasi, Farzin
Author_Institution :
Dept. of Electr. Eng., Univ. of the Witwatersrand, Johannesburg, South Africa
Abstract :
The paper motivates and presents a new fuzzy approach to the task of recognizing buildings in monocular greyscale aerial images. We motivate our fuzzy system, FuzzBuRS, by demonstrating that the building recognition task is an approximately formulated problem. We also show that building recognition systems are capable of taking advantage of machine learning techniques and propose learning extensions to our system
Keywords :
architecture; fuzzy set theory; image recognition; learning (artificial intelligence); FuzzBuRS; approximately formulated problem; building recognition task; fuzzy approach; learning extensions; learning fuzzy building recognition system; machine learning techniques; monocular greyscale aerial images; Africa; Buildings; Data mining; Detectors; Feature extraction; Fuzzy systems; Image edge detection; Image recognition; Machine learning; Machine vision;
Conference_Titel :
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5578-4
DOI :
10.1109/KES.1999.820175
