Title :
Binary image rotation using cellular neural networks
Author :
Gao, Qun ; Messmer, Philippe ; Moschytz, George S.
Author_Institution :
Lab. for Signal & Inf. Process., Swiss Fed. Inst. of Technol., Zurich, Switzerland
fDate :
6/24/1905 12:00:00 AM
Abstract :
A CNN-based rotation algorithm is presented. It is designed to rotate binary images. It works by successively shifting the black pixels on their predefined circular paths with speed adjustment. The performance of the proposed algorithm is compared with that of Matlab´s rotation algorithm. Several examples are given to demonstrate the practicability, of the proposed algorithm.
Keywords :
cellular neural nets; edge detection; image recognition; binary image rotation; black pixels; cellular neural networks; predefined circular paths; speed adjustment; Cellular neural networks; Computer languages; Image matching; Image processing; Image recognition; Information processing; Laboratories; Pixel; Signal processing; Velocity control;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1010173
