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    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/21323

    標題: The Color Normalization Based on the Hue Histogram Warping for the Segmentation of Renal Biopsy
    作者: Yuh-Hwan Liu
    Yuan-Yow Chiou
    貢獻者: 資訊管理系
    關鍵字: Color normalization
    Histogram warping
    Color image segmentation
    Chromaticity diagram
    Renal biopsy
    日期: 2004
    上傳時間: 2009-06-01 09:12:29 (UTC+8)
    摘要: The hue of the biopsy images in different staining processing may be different because of the inconsistent dye; however, it may cause the annoyance of the image processing. In this study, the color normalization based on the hue warping is developed to make the colors in different images be consistent, so that the same criteria can be applied to these images for
    segmentation. The proposed color normalization technique is better than that performed by neural network, and does not need resample color patterns for each image. The hues of renal tubule, major AOI (Area of Interesting) in this study, on different images are almost the same after applying the proposed color normalization method. The k-mean algorithm,
    based on the chromaticity, is used for image segmentation, and the obtained results are better than that segmented by the conventional method. The reason why the chromaticity is used as the segmentation criteria is that the chromaticity is intimately related to the way the human visual system perceives color.
    關聯: 嘉南學報(科技類)30:p.33-41
    Appears in Collections:[嘉南學報] 30 期 (2004)
    [資訊管理系] 期刊論文

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