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IEEE Transactions on Image Processing

Issue 10 • Oct 1996

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Displaying Results 1 - 10 of 10
  • Affine-invariant B-spline moments for curve matching

    Publication Year: 1996, Page(s):1473 - 1480
    Cited by:  Papers (69)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (664 KB)

    The article deals with the problem of matching and recognizing planar curves that are modeled by B-splines, independently of possible affine transformations to which the original curve has been subjected (for example, rotation, translation, scaling, orthographic, and semiperspective projections), and possible occlusion. It presents a fast algorithm for estimating the B-spline control points that i... View full abstract»

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  • Convolution backprojection formulas for 3-D vector tomography with application to MRI

    Publication Year: 1996, Page(s):1462 - 1472
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1404 KB)

    Vector tomography is the reconstruction of vector fields from measurements of their projections. In previous work, it has been shown that the reconstruction of a general three-dimensional (3-D) vector field is possible from the so-called inner product measurements. It has also been shown how the reconstruction of either the irrotational or solenoidal component of a vector field can be accomplished... View full abstract»

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  • Spatiotemporal approach for time-varying global image motion estimation

    Publication Year: 1996, Page(s):1448 - 1461
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1768 KB)

    Image motion estimation using the spatiotemporal approach has largely relied on the constant velocity assumption, and thus becomes inappropriate when the velocity of the imaged scene or the camera changes during the data acquisition time. Using a polynomial or a trigonometric polynomial model for the time variation of the image motion, spatiotemporal algorithms are developed in this paper to handl... View full abstract»

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  • RGB calibration for color image analysis in machine vision

    Publication Year: 1996, Page(s):1414 - 1422
    Cited by:  Papers (50)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (876 KB)

    A color calibration method for correcting the variations in RGB color values caused by vision system components was developed and tested in this study. The calibration scheme concentrated on comprehensively estimating and removing the RGB errors without specifying error sources and their effects. The algorithm for color calibration was based upon the use of a standardized color chart and developed... View full abstract»

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  • Multispectral image visualization with nonlinear projections

    Publication Year: 1996, Page(s):1486 - 1490
    Cited by:  Papers (11)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2116 KB)

    Two visualization techniques based on nonlinear projections for fusing multispectral image data sets into a single most informative gray scale image are described. These techniques are fast, theoretically attractive, complement linear techniques, and may be of value in highlighting specific regions where the component images should be examined in detail View full abstract»

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  • Deformable templates using large deformation kinematics

    Publication Year: 1996, Page(s):1435 - 1447
    Cited by:  Papers (489)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2672 KB)

    A general automatic approach is presented for accommodating local shape variation when mapping a two-dimensional (2-D) or three-dimensional (3-D) template image into alignment with a topologically similar target image. Local shape variability is accommodated by applying a vector-field transformation to the underlying material coordinate system of the template while constraining the transformation ... View full abstract»

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  • Multichannel transforms for signal/image processing

    Publication Year: 1996, Page(s):1402 - 1413
    Cited by:  Papers (10)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (764 KB)

    This paper presents a novel approach to the Fourier analysis of multichannel time series. Orthogonal matrix functions are introduced and are used in the definition of multichannel Fourier series of continuous-time periodic multichannel functions. Orthogonal transforms are proposed for discrete-time multichannel signals as well. It is proven that the orthogonal matrix functions are related to unita... View full abstract»

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  • Skeletonization for fuzzy degraded character images

    Publication Year: 1996, Page(s):1481 - 1485
    Cited by:  Papers (3)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (492 KB)

    Most skeletonization algorithms are operated on binary images. To avoid information loss and distortion, a topography-based approach is proposed to apply directly on fuzzy or gray scale images. A membership function is used to indicate the degree of membership of each ridge point with respect to the skeleton. Significant ridge points are linked to form strokes of skeleton. Experimental results sho... View full abstract»

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  • Rotation and gray-scale transform-invariant texture classification using spiral resampling, subband decomposition, and hidden Markov model

    Publication Year: 1996, Page(s):1423 - 1434
    Cited by:  Papers (57)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1092 KB)

    This paper proposes a new texture classification algorithm that is invariant to rotation and gray-scale transformation. First, we convert two-dimensional (2-D) texture images to one-dimensional (1-D) signals by spiral resampling. Then, we use a quadrature mirror filter (QMF) bank to decompose sampled signals into subbands. In each band, we take high-order autocorrelation functions as features. Fea... View full abstract»

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  • Hierarchical image coding via cerebellar model arithmetic computers

    Publication Year: 1996, Page(s):1393 - 1401
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1964 KB)

    A hierarchical coding system for progressive image transmission that uses the generalization and learning capability of CMAC (cerebellar model arithmetic computer or cerebellar model articulation controller) is described. Each encoder and decoder includes a set of CMACs having different widths of generalization region. A CMAC with a wider generalization region is used to learn a lower frequency co... View full abstract»

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Aims & Scope

IEEE Transactions on Image Processing focuses on signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing.

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Meet Our Editors

Editor-in-Chief
Scott Acton
University of Virginia
Charlottesville, VA, USA
E-mail: acton@virginia.edu 
Phone: +1 434-982-2003