文章摘要
冯璐,高泽莹,胡梦,蔡圣燕.均匀小色差色块阵列样张的制备方法[J].包装工程,2019,40(5):225-230.
FENG Lu,GAO Ze-ying,HU Meng,CAI Sheng-yan.Method to Prepare Samples with Uniform and Small Colour Differences among Colour Patches.Packaging Engineering,2019,40(5):225-230.
均匀小色差色块阵列样张的制备方法
Method to Prepare Samples with Uniform and Small Colour Differences among Colour Patches
投稿时间:2018-11-05  修订日期:2019-03-10
DOI:10.19554/j.cnki.1001-3563.2019.05.032
中文关键词: 小色差  匀色色块  样张  制备  主观评价
英文关键词: small color difference  uniform color patch  sample  prepare  subjective evaluation
基金项目:天津科技大学大学生实验室创新基金(1706A201)
作者单位
冯璐 天津科技大学天津 300222 
高泽莹 天津科技大学天津 300222 
胡梦 天津科技大学天津 300222 
蔡圣燕 天津科技大学天津 300222 
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中文摘要:
      目的 研究均匀小色差色块阵列样张高效精确的制备方法,以期实现高效精确的制备。方法 通过设定样张各列间和各行间的色度差值生成样张,经过主观色差评价实验后,依据目标色差值所对应的色度差值来调整相邻列和相邻行之间的色度差值。经过2轮的调整得到3轮样张。最后3轮样张通过接近程度和均匀性2个方面的评价,择优选用。结果 经过该方法调整后,第2轮和第3轮样张都得到了改善,而且不相上下。样张色差接近目标的评价结果,第2轮和第3轮分别为1.75和1.90。样张色差均匀性的评价结果第2轮和第3轮分别为0.73和0.98。结论 该方法基于主观色差评价结果,根据目标色差值所对应的色度差值调整各列和各行间的色度差值来制备样张,工作量适当,所得实验样张能满足要求。
英文摘要:
      The paper aims to study an effective and precise method of preparing samples with uniform and small color differences among color patches to achieve effective and precise preparation. Firstly, samples were created by assigning the delta a* values between each adjacent columns and delta b* values between adjacent lines of each sample. Then visual experiment was executed to evaluate color differences between adjacent columns and adjacent lines. According to the delta a* values between adjacent columns and delta b* values between adjacent lines of the desired color difference, the delta a* between adjacent columns and delta b* values between adjacent lines were adjusted. After two rounds of adjustments, the third round samples for each color center were gotten. At last, the best sample for each color center was selected in terms of two evaluation index. After two rounds of adjustment, the samples of the second and the third rounds were improved and had similar results. Their evaluation results for accuracy were 1.75 and 1.90. The evaluation indexes for uniformity were 0.73 and 0.98. The method adjusts the delta a* values between each adjacent columns and delta b* values between adjacent lines of sample in terms of the algorithm based on visual results. The workload is appropriate and the samples are qualified.
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