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Cellular neural network template for rotation of grey-scale images

Cellular neural network template for rotation of grey-scale images

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A method for grey-scale image rotation using cellular neural networks (CNNs) is proposed. The rationale of the method is the conversion of image rotation into a small rotation followed by a sequence of translations of pixel blocks. The same programmable 3×3 space-varying template can be used in both cases.

Inspec keywords: image processing equipment; cellular neural nets; neural chips; image processing

Other keywords: small rotation; grey-scale image rotation; spatial array processors; cellular neural network template; sporadic errors; programmable space-varying template; pixel block translation sequence; image processing

Subjects: Pattern recognition and computer vision equipment; Neural computing techniques; Neural net devices; Signal processing and conditioning equipment and techniques; Computer vision and image processing techniques; Neural nets (circuit implementations); Optical, image and video signal processing

References

    1. 1)
      • Gao, Q., Messmer, P., Moschytz, G.S.: `Binary image rotation using cellular neural networks', IEEE Int. Symp. on Circuits and Systems (ISCAS), 2002, Scottsdale, AZ, USA, 3, p. 113–116.
    2. 2)
      • Int. J. Circuit Theory Appl.. Int. J. Circuit Theory Appl. , 87 - 393
    3. 3)
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