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Color correction on digital image based on reference color charts surrounding object

机译:基于周围物体参考色表的数字图像色彩校正

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The image color may deviate from the actual colors of the object due to the lighting conditions and different illumination. Therefore, this paper proposes an algorithm for correcting the colors of digital image in various lighting conditions based on matrix calculations from all reference color charts surrounding the object. The six transformation matrix M for color correction have been calculated from six color charts surrounding the object rather than a single color chart. Then the automatic detection and recognition of the target color charts technique has been performed. Next, the image is divided into small grids. The matrix M elements at all grid's corners were calculated based on distance from each color chart position to the considering grid's corner position. Then, the matrix M elements for each pixel in the considering grid were determined by interpolation from the matrix elements of four corners nearby. Finally, the matrix M for each pixel is applied to complete the color correction. This technique has been tested on a table of 132 colors which taken in four different lighting conditions. The results have shown that the color correction technique can be applied for work that requires accurate color matching as a less costly. For our work, this technique will be applied to the teeth photos in order to match the tooth color with the appropriated dental crowns for further development.
机译:由于光照条件和照明条件不同,图像颜色可能会与对象的实际颜色有所不同。因此,本文提出了一种基于对物体周围所有参考色表进行矩阵计算得出的,在各种照明条件下校正数字图像色彩的算法。已经从围绕对象的六个颜色图表而不是单个颜色图表计算了用于颜色校正的六个变换矩阵M。然后,已执行目标色表技术的自动检测和识别。接下来,将图像划分为小网格。根据从每个颜色图表位置到考虑的网格角位置的距离,计算所有网格角处的矩阵M元素。然后,通过从附近四个角的矩阵元素进行插值,确定考虑网格中每个像素的矩阵M元素。最后,将每个像素的矩阵M应用于完成颜色校正。该技术已经在132种颜色的桌子上进行了测试,该桌子在四种不同的照明条件下拍摄。结果表明,色彩校正技术可以应用于需要精确色彩匹配且成本较低的工作。对于我们的工作,此技术将应用于牙齿照片,以使牙齿颜色与适当的牙冠相匹配,以进行进一步开发。

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