Recently, many types of cameras have come into use around the world. Because of this, color correction has become a significant problem and color charts have been developed for evaluation and correction purposes. In this paper, a method for detecting color charts of arbitrary size, rotation and location from camera images is proposed for color correction purposes. This method combines several hierarchical approaches with a straightforward algorithm to generate fast solutions. The effectiveness of this algorithm is confirmed using a 167-image dataset that includes several sizes and rotations of color chart placed at arbitrary locations.
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