Binary image rotation using cellular neural networks

Qun Gao, Philippe Messmer, George S. Moschytz

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


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 languageEnglish
Pages (from-to)113-116
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
StatePublished - 2002
Externally publishedYes


Dive into the research topics of 'Binary image rotation using cellular neural networks'. Together they form a unique fingerprint.

Cite this