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IEEE Transactions on Image Processing

Issue 12 • Dec 1995

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Displaying Results 1 - 9 of 9
  • Variable duration hidden Markov model and morphological segmentation for handwritten word recognition

    Publication Year: 1995, Page(s):1675 - 1688
    Cited by:  Papers (37)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1248 KB)

    This paper describes a complete system for the recognition of unconstrained handwritten words using a continuous density variable duration hidden Markov model (CD-VDHMM). First, a new segmentation algorithm based on mathematical morphology is developed to translate the 2-D image into a 1-D sequence of subcharacter symbols. This sequence of symbols is modeled by the CDVDHMM. Thirty-five features ar... View full abstract»

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  • A multiscale stochastic image model for automated inspection

    Publication Year: 1995, Page(s):1641 - 1654
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2040 KB)

    We develop a novel multiscale stochastic image model to describe the appearance of a complex three-dimensional object in a two-dimensional monochrome image. This formal image model is used in conjunction with Bayesian estimation techniques to perform automated inspection. The model is based on a stochastic tree structure in which each node is an important subassembly of the three-dimensional objec... View full abstract»

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  • A methodology for quantitative performance evaluation of detection algorithms

    Publication Year: 1995, Page(s):1667 - 1674
    Cited by:  Papers (33)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1056 KB)

    We present a methodology for the quantitative performance evaluation of detection algorithms in computer vision. A common method is to generate a variety of input images by varying the image parameters and evaluate the performance of the algorithm, as algorithm parameters vary. Operating curves that relate the probability of misdetection and false alarm are generated for each parameter setting. Su... View full abstract»

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  • On the optimality of nonunitary filter banks in subband coders

    Publication Year: 1995, Page(s):1585 - 1591
    Cited by:  Papers (32)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (652 KB)

    This paper investigates the energy compaction capabilities of nonunitary filter banks in subband coding. It is shown that nonunitary filter banks have larger coding gain than unitary filter banks because of the possibility of performing half-whitening in each channel. For long filter unit pulse responses, optimization of subband coding gain for stationary input signals results in a filter bank dec... View full abstract»

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  • Circular-Mellin features for texture segmentation

    Publication Year: 1995, Page(s):1629 - 1640
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2012 KB)

    Texture is an important cue in region-based segmentation of images. We provide an insight into the development of a new set of distortion-invariant texture operators. These “circular-Mellin” operators are invariant to both scale and orientation of the target and represent the spectral decomposition of the image scene in the polar-log coordinate system. Coupled with the unique shift inv... View full abstract»

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  • Maximum likelihood parameter estimation of textures using a Wold-decomposition based model

    Publication Year: 1995, Page(s):1655 - 1666
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2188 KB)

    We present a solution to the problem of modeling, parameter estimation, and synthesis of natural textures. The texture field is assumed to be a realization of a regular homogeneous random field, which can have a mixed spectral distribution. On the basis of a 2-D Wold-like decomposition, the field is represented as a sum of a purely indeterministic component, a harmonic component, and a countable n... View full abstract»

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  • Next-state functions for finite-state vector quantization

    Publication Year: 1995, Page(s):1592 - 1601
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1576 KB)

    The finite-state vector quantization scheme called dynamic finite-state vector quantization (DFSVQ) is investigated with regard to its subcodebook construction. In the DFSVQ, each input block is encoded by a small codebook called the subcodebook which is created from a much larger codebook called supercodebook. Each subcodebook is constructed by selecting, using a reordering procedure, a set of ap... View full abstract»

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  • Point-source localization in blurred images by a frequency-domain eigenvector-based method

    Publication Year: 1995, Page(s):1602 - 1612
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1388 KB)

    We address the problem of resolving and localizing blurred point sources in intensity images. Telescopic star-field images blurred by atmospheric turbulence or optical aberrations are typical examples of this class of images, a new approach to image restoration is introduced, which is a generalization of 2-D sensor array processing techniques originating from the field of direction of arrival esti... View full abstract»

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  • Focused image recovery from two defocused images recorded with different camera settings

    Publication Year: 1995, Page(s):1613 - 1628
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4520 KB)

    Two new methods are presented for recovering the focused image of an object from only two blurred images recorded with different camera parameter settings. The camera parameters include lens position, focal length, and aperture diameter. First a blur parameter σ is estimated using one of our proposed depth-from-defocus methods. Then one of the two blurred images is deconvolved to recover the... 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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Editor-in-Chief
Scott Acton
University of Virginia
Charlottesville, VA, USA
E-mail: acton@virginia.edu 
Phone: +1 434-982-2003