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Author: search.filters.author.Intajag, SathitSubject: search.filters.subject.Retinal image

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    Retinal image enhancement by indices of fuzziness
    (2008-12-01)
    Intajag, Sathit
    ;
    Laohasongkram, Phiphat
    ;
    Chatree, Pongtorn
    Evaluation of a retinal image is widely employed to help doctors diagnose many diseases, such as diabetes or hypertension. From acquisition process, retinal images often have low grey level contrast and dynamic range. This paper proposes indices of fuzziness for solving the problems of retinal image enhancement. Histogram of the retinal image is stretched by estimating the optimal parameters of the indices of fuzziness in S-function, which is designed for contrasting a field of view in the images. Our algorithm can achieve a number of significant properties for contrast stretching, such as compressed the noise in background and produced a high contrast in a field of view or foreground that provides feasibility in diagnosis from a retinal image. © 2008 SICE.
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    Retinal image enhancement by index of fuzziness in multi-mode histogram
    (2008-12-01)
    Intajag, Sathit
    ;
    Chatthai, Rungrat
    ;
    Tipsuwanporn, Vittaya
    Evaluation of a retinal image is widely employed to help doctors diagnose many diseases, such as diabetes or hypertension. From acquisition process, retinal images often have low grey level contrast and dynamic range. This paper proposes histogram analysis for solving the problems of retinal image enhancement. The proposed method uses fuzzy set to enhance the images by partitioning the image histogram to multi-modes with derivative equation. Each mode of the histogram is contrasted by finding the optimal crossover point of S-function with an index of fuzziness, which is designed for contrasting a field of view in the images. Our algorithm can achieve a number of properties of an importance for contrast stretching, such as compressed the noise in background and produced a high contrast in the field of view that provide feasibility in diagnosis from a retinal image.