Title :
Shape recognition using a novel fractal technique
Author :
Neil, G. ; Curtis, K.M. ; Craven, M.P.
Author_Institution :
Dept. of Electr. & Electron. Eng., Nottingham Univ., UK
Abstract :
Fractal transformations are an exciting new scale invariant shape recognition technique developed by the authors. They have been successfully used for spatially invariant shape recognition using a cumbersome rotational invariance algorithm. Within this paper a new rotational invariance algorithm is presented which makes the recognition process inherently rotationally invariant. A full discussion of fractal recognition is given and previous results discussed. The new algorithm is detailed and applied to a difficult recognition problem. The results of this application show that the new algorithm is successful in achieving the desired effect
Keywords :
fractals; image recognition; fractal transformation; rotational invariance algorithm; shape recognition; Feature extraction; Fractals; Image coding; Image recognition; Machine vision; Noise robustness; Noise shaping; Parallel processing; Pattern matching; Shape;
Conference_Titel :
Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
Conference_Location :
Rodos
Print_ISBN :
0-7803-3650-X
DOI :
10.1109/ICECS.1996.584464