IEEE Transactions on Pattern Analysis and Machine Intelligence

Issue 6 • June 1992

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Displaying Results 1 - 10 of 10
  • Quantization error in hexagonal sensory configurations

    Publication Year: 1992, Page(s):665 - 671
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (576 KB)

    The authors develop mathematical tools for estimating quantization error in hexagonal sensory configurations. These include analytic expressions for the average error and the error distribution of a function of an arbitrary number of independently quantized variables. These two quantities are essential for assessing the reliability of a given algorithm. They can also be used to compare the relativ... View full abstract»

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  • Perceptual organization for scene segmentation and description

    Publication Year: 1992, Page(s):616 - 635
    Cited by:  Papers (96)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1772 KB)

    A data-driven system for segmenting scenes into objects and their components is presented. This segmentation system generates hierarchies of features that correspond to structural elements such as boundaries and surfaces of objects. The technique is based on perceptual organization, implemented as a mechanism for exploiting geometrical regularities in the shapes of objects as projected on images. ... View full abstract»

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  • A Markov random field model-based approach to image interpretation

    Publication Year: 1992, Page(s):606 - 615
    Cited by:  Papers (69)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (880 KB)

    An image is segmented into a collection of disjoint regions that form the nodes of an adjacency graph, and image interpretation is achieved through assigning object labels (or interpretations) to the segmented regions (or nodes) using domain knowledge, extracted feature measurements, and spatial relationships between the various regions. The interpretation labels are modeled as a Markov random fie... View full abstract»

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  • Generic neighborhood operators

    Publication Year: 1992, Page(s):597 - 605
    Cited by:  Papers (103)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (744 KB)

    A method that treats linear neighborhood operators within a unified framework that enables linear combinations, concatenations, resolution changes, or rotations of operators to be treated in a canonical manner is presented. Various families of operators with special kinds of symmetries (such as translation, rotation, magnification) are explicitly constructed in 1-D, 2-D, and 3-D. A concept of `ord... View full abstract»

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  • Iterative composite filtering for image restoration

    Publication Year: 1992, Page(s):674 - 678
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB)

    An algorithm solution to the noisy image restoration problem under assumptions that the image is nonstationary and that the noise process is a superposition of white and impulsive noises is proposed. A composite model is used for the image in order to consider its nonstationarities, in the mean and the autocorrelation. Separating the gross information about the image from its textural information,... View full abstract»

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  • Theory of matrix morphology

    Publication Year: 1992, Page(s):636 - 652
    Cited by:  Papers (12)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1404 KB)

    The current concept of mathematical morphology (called scalar morphology here) is extended to a matrix morphology formalism. A formal definition of matrix morphology on binary images is followed by a complete pictorial example of a nontrivial application. Binary matrix morphology is extended to gray-scale matrix morphology using a traditional development. General window transforms are expressed in... View full abstract»

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  • An analysis of camera noise

    Publication Year: 1992, Page(s):671 - 674
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB)

    The class of cameras that are based on ionization sensors, which includes the most common charge-coupled device (CCD) and vidicon cameras, is examined. Camera signals are shown to be corrupted by direction-dependent stationary electronic noise sources and fluctuations due to the statistical nature of the sensing process. The authors develop and test a model of the inherent noises in cameras. These... View full abstract»

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  • Fast homotopy-preserving skeletons using mathematical morphology

    Publication Year: 1992, Page(s):653 - 664
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1220 KB)

    Two algorithms for skeletonization of 2-D binary images, each of which explicitly separates the two major aspects of skeletonization are described: the identification of points critical to shape representation, and the identification of further points necessary to preserve homotopy. Sets of points critical to shape representation are found by eroding the original image I with a nested seq... View full abstract»

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  • Splitting-integrating method for normalizing images by inverse transformations

    Publication Year: 1992, Page(s):678 - 686
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (668 KB)

    The splitting-integrating method is a technique developed for the normalization of images by inverse transformation. It does not require solving nonlinear algebraic equations and is much simpler than any existing algorithm for the inverse nonlinear transformation. Moreover, its solutions have a high order of convergence, and the images obtained through T-1 are free from superfl... View full abstract»

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  • Comparative analysis of backpropagation and the extended Kalman filter for training multilayer perceptrons

    Publication Year: 1992, Page(s):686 - 691
    Cited by:  Papers (51)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (596 KB)

    The relationship between backpropagation and extended Kalman filtering for training multilayer perceptrons is examined. These two techniques are compared theoretically and empirically using sensor imagery. Backpropagation is a technique from neural networks for assigning weights in a multilayer perceptron. An extended Kalman filter can also be used for this purpose. A brief review of the multilaye... View full abstract»

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Aims & Scope

The IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) is published monthly. Its editorial board strives to present most important research results in areas within TPAMI's scope.

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Meet Our Editors

Editor-in-Chief
Sven Dickinson
University of Toronto
e-mail: sven@cs.toronto.edu