Various image pattern recognition techniques based on fuzzy technology developed by the authors' group have been usrveyed. First fuzzy clustering is applied to the remote sensing images. It is a modified version of the well known FCM. Then a shape recognition algorithm is presented for a robotics assembling line. It is a fuzzy discriminant tree method for real-time use. Finally a fuzzy dynamic image understanidng system is presented. It can udnerstand the dynamic images on general roads in Japan, where a fuzzy frame based knowledge representation and a special kind of fuzzy inference engine are introduced.
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