Abstract
Reflectance information of a tissue is desired in the field of medical imaging, especially for disease diagnosis. In this paper, a new reflectance restoration algorithm is proposed to recover the reflectance information using a commercial camera. Initially, a color clustering method was applied to obtain the representative colors of tissue samples. These colors were then used to construct a look-up-table (LUT) using a lattice regression model. Interpolation methods can then be applied to the newly built LUT to acquire its matching reflectance information for any RGB input images. Present results showed that the proposed method further improve the accuracy in spectral reconstruction for tissue samples.
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Acknowledgements
A Project Supported by Scientific Research Fund of Zhejiang Provincial Education Department; Supported by the Fundamental Research Funds for the Provincial Universities of Zhejiang (GK219909299001-019).
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Chen, Y., Zhang, S., Xu, L. (2023). Spectral Reflectance Reconstruction of Organic Tissue Based on Camera Responses. In: Xu, M., Yang, L., Zhang, L., Yan, S. (eds) Innovative Technologies for Printing and Packaging. CACPP 2022. Lecture Notes in Electrical Engineering, vol 991. Springer, Singapore. https://doi.org/10.1007/978-981-19-9024-3_13
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DOI: https://doi.org/10.1007/978-981-19-9024-3_13
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