Binary image rotation using cellular neural networks

Qun Gao; Philippe Messmer; George S. Moschytz

doi:10.1109/iscas.2002.1010173

Binary image rotation using cellular neural networks

Qun Gao, Philippe Messmer, George S. Moschytz

Swiss Federal Institute of Technology Zurich

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

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.

Original language	English
Pages (from-to)	113-116
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	3
DOIs	https://doi.org/10.1109/iscas.2002.1010173
State	Published - 2002
Externally published	Yes

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10.1109/iscas.2002.1010173

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title = "Binary image rotation using cellular neural networks",

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.",

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Binary image rotation using cellular neural networks

Abstract

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