Abstract
The Image Ray Transform (IRT) is a recent approach to extract structures at a low level by mimicking the attributes of light rays. We suggest an extension of IRT to detect shapes of chosen colors. The new approach uses the CIEL*a*b* color model within the IRT’s light ray analogy. The capability of the extended IRT using color information is evaluated for correct shape location by conventional methods such as the Hough Transform. We show that the new approach can indeed be used to detect shapes of specified colors. Further work will aim to be expanded descriptive capability of new extraction.
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Oh, AR., Nixon, M.S. (2014). Adding Color Sensitivity to the Shape Adaptive Image Ray Transform. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8888. Springer, Cham. https://doi.org/10.1007/978-3-319-14364-4_75
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DOI: https://doi.org/10.1007/978-3-319-14364-4_75
Publisher Name: Springer, Cham
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