Title :
A color chart detection method for automatic color correction
Author :
Minagawa, A. ; Katsuyama, Yutaka ; Takebe, H. ; Hotta, Yoshinobu
Abstract :
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.
Keywords :
cameras; image colour analysis; object detection; 167-image dataset; automatic color correction; camera images; color chart detection method; color chart rotation; color chart size; correction purpose; evaluation purpose; hierarchical approach; straightforward algorithm; Arrays; Cameras; Extrapolation; Feature extraction; Image color analysis; Image edge detection; Image segmentation;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4
