文章摘要
张建青,沈晓莹,田全慧,刘真.基于色相角聚类的图像色域边界快速提取方法[J].包装工程,2017,38(3):139-143.
ZHANG Jian-qing,SHEN Xiao-ying,TIAN Quan-hui,LIU Zhen.Rapid Extraction Method of Image Gamut Boundary Based on Hue Angle Clustering[J].Packaging Engineering,2017,38(3):139-143.
基于色相角聚类的图像色域边界快速提取方法
Rapid Extraction Method of Image Gamut Boundary Based on Hue Angle Clustering
投稿时间:2016-05-16  修订日期:2017-02-10
DOI:
中文关键词: 色彩管理  色域边界描述  快速色域映射
英文关键词: color management  gamut boundary description  fast color gamut mapping
基金项目:上海理工大学科技发展项目(16KJFZ017)
作者单位
张建青 上海理工大学上海 200093 
沈晓莹 海洋环境保障中心北京 210046 
田全慧 上海理工大学上海 200093 
刘真 上海理工大学上海 200093 
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中文摘要:
      目的 基于色相角聚类的方法对图像像素进行排列,在此基础上提取图像色域边界,达到零误差快速提取图像色域边界。方法 在设备无关色空间的球坐标系中,依据指定颜色属性值的顺序,依次由大到小排列图像中的像素,按照边界点特征提取图像的色域边界点,在上述排列图像像素的基础上,进行“图像到设备”的色域映射。结果 对于实验选用图像,提出的方案可零误差取出图像的边界点,计算平均时间仅需2.6 s,用CIE推荐的局部最大值色域边界描述法(SMGBD)计算图像边界点,平均误差大于3ΔEab*,平均计算时间大于1 min;在色相角聚类排列图像像素的基础上进行的最小色差法色域映射,极大地提高了计算速度。结论 基于色相角聚类的图像色域边界点提取方法可以快速零误差提取图像边界点,在此基础上进行的色域映射计算,去掉了冗余计算,提高了计算速度,对实现从图像到设备的色域映射有重要意义。
英文摘要:
      The work aims to arrange the image pixels based on hue angle clustering method, so as to quickly and accurately extracting image color gamut boundary. In the spherical coordinates of device independent color space, pixels in the image were arranged in the descending order according to color attribute values, then, gamut boundary points were extracted from the image according to boundary point features. Based on the image pixels arranged above, the “image-to-device” gamut mapping was calculated. With respect to the image selected by the experiment, the proposed plan could extract the image boundary points accurately, with an average calculating time of only 2.6 s. The image boundary points were calculated in the local maximum gamut boundary description method (SMGBD) recommended by CIE, with the average error more than 3ΔEab* and the average calculating time greater than 1 min. The gamut mapping of the minimum color difference method based on the image pixels arranged by hue angle clustering greatly improved the calculation speed. The method extracting image color gamut boundary points based on hue angle clustering can quickly extract the image boundary points with zero error. Based on that, the gamut mapping was calculated. Such calculation removes the redundant computation and improves the calculation speed, which has great significance for developing the image-to-device gamut mapping.
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