In this work we present a methodology to obtain invariant pattern recognition when the input scene is degraded by a defect of focus. When the image is blurred the discrimination capacity (DC) diminishes and the pattern recognition process is worse. This method is based in the selection of ring frequency bands and in the design of trade-off filters. Then several information channels are obtained. The information of all the channels is fused by means of the addition of all the channels and the geometric mean of them. Also individual channel analysis is shown. The influence on the DC and on the SNR of the added white noise in the input image is presented.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multichannel analysis to obtain invariant pattern recognition with defocused images


    Contributors:

    Conference:

    19th Congress of the International Commission for Optics: Optics for the Quality of Life ; 2002 ; Florence,Italy


    Published in:

    Publication date :

    2003-11-19





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Multichannel analysis to obtain invariant pattern recognition with defocused images [4829-130]

    Vargas, A. A. / Campos, J. / Martin, C. S. et al. | British Library Conference Proceedings | 2003


    Coherent Optical Correlation For Defocused Images Recognition

    Sirotti, Paolo / Tofful, Ennio | SPIE | 1989


    Observing Shape from Defocused Images

    Favaro, P. / Mennucci, A. / Soatto, S. | British Library Online Contents | 2003


    On Observing Shape from Defocused Images

    Mennucci, A. / Soatto, S. / IEEE | British Library Conference Proceedings | 1999


    Multichannel pattern recognition of color images (Invited Paper) [3904-25]

    Yzuel, M. J. / Campos, J. / Moreno, I. S. et al. | British Library Conference Proceedings | 1999