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- W2163565194 abstract "This paper presents a hybrid recognition method, which is based on the nonlinear histogram equalization and the multidimensional intensity variation of an images. The nonlinear histogram equalization based on a adaptively modified function is applied to improve the quality by adjusting the brightness of the image. The multidimensional intensity variation by considering the a extent of 4-step changes in brightness between the adjacent pixels is also applied to reflect accurately the attributes of image. The statistical correlation that is measured by the normalized cross-correlation(NCC) coefficient, is applied to comprehensively measure the similarity between the images. The NCC is considered by the intensity variation of each 2-direction(x-axis and y-axis) image. The proposed method has been applied to the problem for recognizing the 50-face images of 40*40 pixels. The experimental results show that the proposed method has a superior recognition performances to the method without performing the histogram equalization, or the linear histogram equalization, respectively." @default.
- W2163565194 created "2016-06-24" @default.
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- W2163565194 date "2014-10-25" @default.
- W2163565194 modified "2023-09-25" @default.
- W2163565194 title "Image Recognition Based on Nonlinear Equalization and Multidimensional Intensity Variation" @default.
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- W2163565194 doi "https://doi.org/10.5391/jkiis.2014.24.5.504" @default.
- W2163565194 hasPublicationYear "2014" @default.
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