Abstract
In this paper we are presenting four methods of correcting spherical shading for eye fundus images by using a parabola function. The estimation of the correcting function is difficult since the characteristics of the shading are unknown and we must estimate the parameters from a limited field photograph.
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(1)
The hill climbing method; all the results obtained don’t converge into the true values, but they depend rather on the initial values.
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(2)
The pattern search method; this is a simplification of the hill climbing method. The results obtained do not always converge into the true values.
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(3)
The razor search method; to improve the convergence of the pattern search method, we apply the razor search method additionally to the pattern search method.
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(4)
The slice method; when we binarize a spherical shaded image of eye fundus photograph by thresolding, a circular area is obtained. We can estimate the shading correcting function from this area. By this algorithm, we obtained the good corrected images that depict the blood vessels.
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© 1985 Plenum Press, New York
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Okazaki, K., Tamura, S. (1985). Spherical Shading Correction of Eye Fundus Image by Parabola Function. In: Tou, J.T. (eds) Computer-Based Automation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-7559-3_18
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DOI: https://doi.org/10.1007/978-1-4684-7559-3_18
Publisher Name: Springer, Boston, MA
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