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IET Image Processing

Issue 6 • Date Sept. 2011

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Displaying Results 1 - 5 of 5
  • Relevance feedback approach for image retrieval combining support vector machines and adapted gaussian mixture models

    Publication Year: 2011, Page(s):531 - 540
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (377 KB)

    A new relevance feedback (RF) approach for content-based image retrieval (CBIR) is presented, which uses Gaussian mixture (GM) models as image representations. The GM of each image is obtained as an adaptation of a universal GM which models the probability distribution of the features of the image database. In each RF round, the positive and negative examples provided by the user until the current... View full abstract»

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  • Adaptive scalar and vector median filtering of noisy colour images based on noise estimation

    Publication Year: 2011, Page(s):541 - 553
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (769 KB)

    To address the problem of removing impulsive noise with different density from colour images, a new filtering algorithm is proposed based on noise estimation as well as adaptive scalar (SMF) and vector median filter (VMF). Two-level noise estimation scheme is adopted for noise detection, where the first-level estimation is based on maximum and minimum intensity value of each colour channel, and th... View full abstract»

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  • Texture segmentation in the joint photographic expert group 2000 domain

    Publication Year: 2011, Page(s):554 - 559
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (477 KB)

    Image segmentation is an important task in many image processing systems. For efficient transmission over a band-limited channel, original images are often compressed before being stored in databases. In order to avoid the burden of decompressing an image, it is desirable to extract features directly from a code stream. This approach saves computational time significantly. The look up table used f... View full abstract»

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  • Image registration based on criteria of feature point pair mutual information

    Publication Year: 2011, Page(s):560 - 566
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (413 KB)

    Similarity measurement based on mutual information maximisation has been successful applied in image registration. However, it costs a lot of computation time and the interference of local maxima in the search process always makes the registration search into local maxima that may cause misregistration. In order to eliminate these shortcomings, a novel image registration method is presented in thi... View full abstract»

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  • Image enlargement via interpolatory subdivision

    Publication Year: 2011, Page(s):567 - 571
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (283 KB)

    A novel image enlargement method based on a modified interpolatory subdivision scheme is proposed in this study. The subdivision scheme is a modification from the 4-point interpolatory subdivision by substituting the interpolation rule for a tangent-constrained Hermite interpolation and in surface case the subdivision is derived from a Ferguson patch. By estimating the gradients of the Ferguson pa... View full abstract»

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Aims & Scope

The range of topics covered by IET Image Processing includes areas related to the generation, processing and communication of visual information.

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