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Vision, Image and Signal Processing, IEE Proceedings -

Issue 2 • Date Aug 1999

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Displaying Results 1 - 7 of 7
  • Statistical morphological skeleton for representing and coding noisy shapes

    Publication Year: 1999 , Page(s): 85 - 92
    Cited by:  Patents (2)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (972 KB)  

    A new shape descriptor obtained by skeletonisation of noisy binary images is presented. Skeleton extraction is performed by using an algorithm based on a new class of parametrised binary morphological operators, taking into account statistical aspects. Parameters are adaptively selected during the successive iterations of the skeletonisation operation to regulate the characteristics of the shape d... View full abstract»

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  • Improved digital filter structure for fast moments computation

    Publication Year: 1999 , Page(s): 73 - 79
    Cited by:  Papers (3)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (516 KB)  

    An efficient approach is introduced to implement a digital filter structure for fast moments calculation. The approach not only improves the computation efficiency, but also simplifies possible realisations using both hardware and software. A suitable filter structure for the computation of moments is reviewed. The improved filter structure is compared with conventional algorithms, and yields supe... View full abstract»

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  • Efficient adaptive complex filtering algorithm with application to channel equalisation

    Publication Year: 1999 , Page(s): 57 - 64
    Cited by:  Papers (3)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (640 KB)  

    The paper describes a means of efficiently implementing an adaptive complex transversal filter. Three real-coefficient filter sections are used to realise the transversal filter section of a complex equaliser, thus using one less filter than a conventional realisation. An adaptive algorithm is developed, in a manner similar to the least mean square algorithm, which allows the three filters to be t... View full abstract»

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  • Recursive scheme for ARMA coefficient and order estimation with noisy input-output data

    Publication Year: 1999 , Page(s): 65 - 71
    Cited by:  Papers (2)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (444 KB)  

    A novel estimation scheme for determining ARMA orders and coefficients is presented. The system is assumed to be excited by a non-Gaussian random sequence. Third-order cumulants of the input-output data are introduced to eliminate additive Gaussian noise of unknown variances at the measurement site. The proposed algorithm is performed order-recursively until the estimated coefficients converge whe... View full abstract»

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  • Prescanned minmax centre-weighted filters for image restoration

    Publication Year: 1999 , Page(s): 101 - 107
    Cited by:  Papers (7)  |  Patents (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (876 KB)  

    The prescanned minmax centre-weighted (PMCW) filter, which is capable of restoring images severely corrupted by impulsive noise, is presented. Before filtering, the input image is scanned by a running window; the maximum and minimum of each ranked set in the running window are grouped as the first subset, and the rest as the second subset. Then, the two subsets are filtered in sequence by a center... View full abstract»

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  • Estimation of image noise variance

    Publication Year: 1999 , Page(s): 80 - 84
    Cited by:  Papers (51)  |  Patents (15)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (852 KB)  

    A novel algorithm for estimating the noise variance of an image is presented. The image is assumed to be corrupted by Gaussian distributed noise. The algorithm estimates the noise variance in three steps. At first the noisy image is filtered by a horizontal and a vertical difference operator to suppress the influence of the (unknown) original image. In a second step a histogram of local signal var... View full abstract»

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  • Human gait recognition in canonical space using temporal templates

    Publication Year: 1999 , Page(s): 93 - 100
    Cited by:  Papers (33)  |  Patents (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (716 KB)  

    A system for automatic gait recognition without segmentation of particular body parts is described. Eigenspace transformation (EST) has already proved useful for several tasks including face recognition, gait analysis, etc; it is optimal in dimensionality reduction by maximising the total scatter of all classes but is not optimal for class separability. A statistical approach that combines EST wit... View full abstract»

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