蛋白CVD患者石岛试验图像重着色

Z. Milivojevic, Milica Mladenović
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摘要

本文分析了蛋白质CVD算法的效果。利用蛋白CVD算法对图像进行重新着色,使其适合蛋白CVD人员使用。在第一部分中,描述了一种原色异常类型的三色异常。然后,介绍了蛋白质CVD算法。论文的第二部分描述了CVD算法的有效性实验。将CVD算法应用于石原色盲测试数据库中的图像,这些图像是故意形成的,用于检测protanCVD人群。实验结果用图像和图像中每两个像素之间的平均色差的数值来表示。最后,对客观(色差分析)和主观(图像视觉检查)方法的结果进行了比较分析。在此基础上,对蛋白质CVD算法的效率进行了评价。
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RECOLORING ISHIMARA TEST IMAGE FOR PROTAN CVD PERSONS
In this paper, the effect of the protan CVD algorithm is analyzed. Using the protan CVD algorithm, theimages are recolored, so that they are suitable for use by protan CVD people. In the first part, a trichromaticanomaly of the protanomaly type is described. After that, the protan CVD algorithm is described. The second part ofthe paper describes the Experiment in which the effectiveness of the CVD algorithm was tested. The CVD algorithmwas applied to images from the Ishihara color blindness test database, which were purposely formed to detect protanCVD persons. The results of the Experiment are shown using images and numerical values of the average chromaticdifference between every two pixels of the image. Finally, a comparative analysis of the results using objective(analysis of chromatic differences) and subjective (visual inspection of the image) methods is presented. Based onthe analysis, an evaluation of the efficiency of the protan CVD algorithm was given.
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