Abstract
The paper presents a new [pseudo-] Logarithmic Model for Image Processing (LIP), which allows the computation of gray-level addition, substraction and multiplication with scalars within a fixed gray-level range [0; D] without the use of clipping. The implementation of Laplacian edge detection techniques under the proposed model yields superior performance in biomedical applications as compared with the classical operations (performed either as real axis operations, either as classical LIP models).
This work was supported in part by the Romanian National Agency for Scientific Research under the PNCDI2 51-021.2/2007 research grant.
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Vertan, C., Oprea, A., Florea, C., Florea, L. (2008). A Pseudo-logarithmic Image Processing Framework for Edge Detection. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2008. Lecture Notes in Computer Science, vol 5259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88458-3_57
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DOI: https://doi.org/10.1007/978-3-540-88458-3_57
Publisher Name: Springer, Berlin, Heidelberg
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