A Two-Layer Radon Transform Cellular Neural Network

Chai Wah Wu, Leon O. Chua, T. Roska

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

A two-layer continuous-time cellular neural network for finding the Radon transform of a binary image is presentea. The functionality of this cellular neural network follows from the functionality of the connected component detector cellular neural network.

Original languageEnglish
Pages (from-to)488-489
Number of pages2
JournalIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Volume39
Issue number7
DOIs
Publication statusPublished - 1992

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Cellular neural networks
Radon
Mathematical transformations
Binary images
Detectors

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing

Cite this

A Two-Layer Radon Transform Cellular Neural Network. / Wu, Chai Wah; Chua, Leon O.; Roska, T.

In: IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 39, No. 7, 1992, p. 488-489.

Research output: Contribution to journalArticle

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