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

C. Sinthanayothin, W. Bholsithi, N. Wongwaen
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引用次数: 1

Abstract

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.
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基于周围物体参考色表的数字图像色彩校正
由于光照条件和不同的照度,图像颜色可能会偏离物体的实际颜色。因此,本文提出了一种基于物体周围所有参考色表的矩阵计算的各种光照条件下数字图像颜色校正算法。颜色校正的6个变换矩阵M是从物体周围的6个色图而不是单个色图中计算出来的。在此基础上,实现了目标颜色图的自动检测与识别技术。接下来,将图像划分为小网格。根据每个色图位置到考虑网格角位置的距离计算所有网格角上的矩阵M元素。然后,对考虑网格中相邻四角的矩阵元素进行插值,确定每个像素的矩阵M元素;最后,对每个像素应用矩阵M来完成颜色校正。这项技术已经在一张有132种颜色的桌子上进行了测试,这些桌子在四种不同的照明条件下拍摄。结果表明,色彩校正技术可以较低成本地应用于需要精确色彩匹配的工作。在我们的工作中,这项技术将应用于牙齿照片,以使牙齿的颜色与合适的牙冠相匹配,以便进一步发展。
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