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Juan Campos - One of the best experts on this subject based on the ideXlab platform.

  • optimization of the polychromatic Discrimination Capability in multichannel pattern recognition
    Optical Engineering, 2002
    Co-Authors: Abdelaziz Attaleb, Juan Campos, Esmail Ahouzi, Ignacio Moreno, Maria J Yzuel
    Abstract:

    We present the improvement of color pattern recognition by the optimization of a new parameter, the polychromatic Discrimination Capability. We use the polychromatic correlation obtained as the addition of the three correlation intensities obtained with the RGB components of the input color scene and the corresponding components of the color target. The polychromatic Discrimination Capability is defined in this fused correlation plane. We propose a method to optimize this perfor- mance parameter, which represents a global criterion for the optimization of the polychromatic correlation. The approach involves the design of regions of support to be used with the matched phase-only filters to optimize the polychromatic Discrimination. We present simulation results illustrating the improvements obtained after the optimization process. We also include experimental results obtained with an optical real-time cor- relator that uses two spatial light modulators. Experimental data confirm the numerical results and show the capacity of the proposed technique to improve color pattern recognition. © 2002 Society of Photo-Optical Instrumen-

  • invariant pattern recognition against defocus based on subband decomposition of the filter
    Optics Communications, 2000
    Co-Authors: Asticio Vargas, Juan Campos, Rafael Navarro
    Abstract:

    The Discrimination Capability (DC) is an important quality parameter in pattern recognition. If the input scene suffers some degradation, this parameter decreases. A source of degradation could be the imaging system, in particular the obtained image could be out of focus. In this paper we analyze single and multichannel methods to obtain a DC invariant to the defocus. They are based on the Laplacian pyramidal decomposition of the filter. In the case of multichannel procedures we analyze several nonlinear methods to combine the information given by each channel.

  • optical color pattern recognition with high Discrimination Capability using binary amplitude phase only filters
    Optical Review, 1999
    Co-Authors: Abdelaziz Attaleb, Juan Campos, Esmail Ahouzi, Maria J Yzuel
    Abstract:

    The possibility of improving the Discrimination Capability (DC) in color pattern recognition is analyzed. In each channel, red, green and blue (R, G, B), a region of support is designed to improve the behavior of the Phase Only Filter matched to the corresponding component of the target. The procedure of optimization is based on the analytical expressions which give the DC in R, G, B channels, for real valued input scenes. Computer simulation results are presented and discussed.

  • binary amplitude phase only filter with high multiobject Discrimination Capability
    Optical Engineering, 1998
    Co-Authors: Esmail Ahouzi, Juan Campos, Maria J Yzuel
    Abstract:

    Universidad Auto´noma de BarcelonaDepartamento de Fi´sicaBellaterra, Barcelona 08193SpainE-mail: ifop1@cc.uab.esAbstract. Binary amplitude phase-only filters (BAPOFs) with high dis-crimination Capability (DC) are presented. This enhancement is achievedby designing the region of support of the phase-only filters (POFs). Wepropose different approaches for maximizing the DC based on analyticalexpressions of the correlation function for real-valued input scenes.Computer simulation and experimental results are presented and dis-cussed. The experimental results coincide with the numerical analysisand demonstrate that the optimized BAPOFs obtained with this newtechnique produce high Discrimination Capability among several objects.For comparison, the optimization of the DC of the POF is formulated asan annealing problem.

  • Input-image homogenization as a method to improve a correlator's Discrimination Capability
    Optics Letters, 1998
    Co-Authors: Leonid P. Yaroslavsky, Octavio Lopez-coronado, Juan Campos
    Abstract:

    We propose an input-image preprocessing method consisting of homogenization of the image to improve the Discrimination Capability of a correlation-based recognition process. This method is an approximation of the optimal filter. It offers the advantage that correlation with the preprocessed images can easily be implemented in an optical correlator working with phase-only spatial light modulators.

Maria J Yzuel - One of the best experts on this subject based on the ideXlab platform.

  • optimization of the polychromatic Discrimination Capability in multichannel pattern recognition
    Optical Engineering, 2002
    Co-Authors: Abdelaziz Attaleb, Juan Campos, Esmail Ahouzi, Ignacio Moreno, Maria J Yzuel
    Abstract:

    We present the improvement of color pattern recognition by the optimization of a new parameter, the polychromatic Discrimination Capability. We use the polychromatic correlation obtained as the addition of the three correlation intensities obtained with the RGB components of the input color scene and the corresponding components of the color target. The polychromatic Discrimination Capability is defined in this fused correlation plane. We propose a method to optimize this perfor- mance parameter, which represents a global criterion for the optimization of the polychromatic correlation. The approach involves the design of regions of support to be used with the matched phase-only filters to optimize the polychromatic Discrimination. We present simulation results illustrating the improvements obtained after the optimization process. We also include experimental results obtained with an optical real-time cor- relator that uses two spatial light modulators. Experimental data confirm the numerical results and show the capacity of the proposed technique to improve color pattern recognition. © 2002 Society of Photo-Optical Instrumen-

  • optical color pattern recognition with high Discrimination Capability using binary amplitude phase only filters
    Optical Review, 1999
    Co-Authors: Abdelaziz Attaleb, Juan Campos, Esmail Ahouzi, Maria J Yzuel
    Abstract:

    The possibility of improving the Discrimination Capability (DC) in color pattern recognition is analyzed. In each channel, red, green and blue (R, G, B), a region of support is designed to improve the behavior of the Phase Only Filter matched to the corresponding component of the target. The procedure of optimization is based on the analytical expressions which give the DC in R, G, B channels, for real valued input scenes. Computer simulation results are presented and discussed.

  • binary amplitude phase only filter with high multiobject Discrimination Capability
    Optical Engineering, 1998
    Co-Authors: Esmail Ahouzi, Juan Campos, Maria J Yzuel
    Abstract:

    Universidad Auto´noma de BarcelonaDepartamento de Fi´sicaBellaterra, Barcelona 08193SpainE-mail: ifop1@cc.uab.esAbstract. Binary amplitude phase-only filters (BAPOFs) with high dis-crimination Capability (DC) are presented. This enhancement is achievedby designing the region of support of the phase-only filters (POFs). Wepropose different approaches for maximizing the DC based on analyticalexpressions of the correlation function for real-valued input scenes.Computer simulation and experimental results are presented and dis-cussed. The experimental results coincide with the numerical analysisand demonstrate that the optimized BAPOFs obtained with this newtechnique produce high Discrimination Capability among several objects.For comparison, the optimization of the DC of the POF is formulated asan annealing problem.

  • pattern recognition with a phase shifting interferometric correlator Discrimination Capability enhancement
    Applied Physics B, 1997
    Co-Authors: Esmail Ahouzi, Juan Campos, Claudio Iemmi, Silvia Ledesma, V Lashin, K Chalasinskamacukov, Maria J Yzuel
    Abstract:

    We study an experimental setup to perform pattern recognition by correlation methods. This setup implements the Pure Phase Correlation (PPC) method, let us say, it only takes into account the phase distributions of the Fourier transform of the scene and the target. An experimental study of a PPC method is presented. A phase measurement interferometric technique is used to extract the phase of the Fourier transform of the correlation function. Some aspects related to the intermodulation are examined. Experimental PPC with improved Discrimination Capability obtained with binary masks is also considered. The experiments are carried out with segmented scenes and with multiobject scenes.

  • pure phase correlation with improved Discrimination Capability
    Optical Review, 1996
    Co-Authors: Esmail Ahouzi, Juan Campos, Katarzyna Chalasinskamacukow, Maria J Yzuel
    Abstract:

    Pure phase correlation with improved Discrimination Capability is proposed. The improvement is achieved by designing a region of support based on the Discrimination Capability (DC). We propose four approaches for designing this region; some of them consider the input scene in the design, while others are input scene invariant. The performances of these approaches are compared by numerical simulation. The DC is improved significantly for the multi-object scenes even when using an input scene invariant region of support design.

Leonid P. Yaroslavsky - One of the best experts on this subject based on the ideXlab platform.

Guonan Chen - One of the best experts on this subject based on the ideXlab platform.

Esmail Ahouzi - One of the best experts on this subject based on the ideXlab platform.

  • optimization of the polychromatic Discrimination Capability in multichannel pattern recognition
    Optical Engineering, 2002
    Co-Authors: Abdelaziz Attaleb, Juan Campos, Esmail Ahouzi, Ignacio Moreno, Maria J Yzuel
    Abstract:

    We present the improvement of color pattern recognition by the optimization of a new parameter, the polychromatic Discrimination Capability. We use the polychromatic correlation obtained as the addition of the three correlation intensities obtained with the RGB components of the input color scene and the corresponding components of the color target. The polychromatic Discrimination Capability is defined in this fused correlation plane. We propose a method to optimize this perfor- mance parameter, which represents a global criterion for the optimization of the polychromatic correlation. The approach involves the design of regions of support to be used with the matched phase-only filters to optimize the polychromatic Discrimination. We present simulation results illustrating the improvements obtained after the optimization process. We also include experimental results obtained with an optical real-time cor- relator that uses two spatial light modulators. Experimental data confirm the numerical results and show the capacity of the proposed technique to improve color pattern recognition. © 2002 Society of Photo-Optical Instrumen-

  • optical color pattern recognition with high Discrimination Capability using binary amplitude phase only filters
    Optical Review, 1999
    Co-Authors: Abdelaziz Attaleb, Juan Campos, Esmail Ahouzi, Maria J Yzuel
    Abstract:

    The possibility of improving the Discrimination Capability (DC) in color pattern recognition is analyzed. In each channel, red, green and blue (R, G, B), a region of support is designed to improve the behavior of the Phase Only Filter matched to the corresponding component of the target. The procedure of optimization is based on the analytical expressions which give the DC in R, G, B channels, for real valued input scenes. Computer simulation results are presented and discussed.

  • binary amplitude phase only filter with high multiobject Discrimination Capability
    Optical Engineering, 1998
    Co-Authors: Esmail Ahouzi, Juan Campos, Maria J Yzuel
    Abstract:

    Universidad Auto´noma de BarcelonaDepartamento de Fi´sicaBellaterra, Barcelona 08193SpainE-mail: ifop1@cc.uab.esAbstract. Binary amplitude phase-only filters (BAPOFs) with high dis-crimination Capability (DC) are presented. This enhancement is achievedby designing the region of support of the phase-only filters (POFs). Wepropose different approaches for maximizing the DC based on analyticalexpressions of the correlation function for real-valued input scenes.Computer simulation and experimental results are presented and dis-cussed. The experimental results coincide with the numerical analysisand demonstrate that the optimized BAPOFs obtained with this newtechnique produce high Discrimination Capability among several objects.For comparison, the optimization of the DC of the POF is formulated asan annealing problem.

  • pattern recognition with a phase shifting interferometric correlator Discrimination Capability enhancement
    Applied Physics B, 1997
    Co-Authors: Esmail Ahouzi, Juan Campos, Claudio Iemmi, Silvia Ledesma, V Lashin, K Chalasinskamacukov, Maria J Yzuel
    Abstract:

    We study an experimental setup to perform pattern recognition by correlation methods. This setup implements the Pure Phase Correlation (PPC) method, let us say, it only takes into account the phase distributions of the Fourier transform of the scene and the target. An experimental study of a PPC method is presented. A phase measurement interferometric technique is used to extract the phase of the Fourier transform of the correlation function. Some aspects related to the intermodulation are examined. Experimental PPC with improved Discrimination Capability obtained with binary masks is also considered. The experiments are carried out with segmented scenes and with multiobject scenes.

  • pure phase correlation with improved Discrimination Capability
    Optical Review, 1996
    Co-Authors: Esmail Ahouzi, Juan Campos, Katarzyna Chalasinskamacukow, Maria J Yzuel
    Abstract:

    Pure phase correlation with improved Discrimination Capability is proposed. The improvement is achieved by designing a region of support based on the Discrimination Capability (DC). We propose four approaches for designing this region; some of them consider the input scene in the design, while others are input scene invariant. The performances of these approaches are compared by numerical simulation. The DC is improved significantly for the multi-object scenes even when using an input scene invariant region of support design.