A Pseudo-logarithmic Image Processing Framework for Edge Detection

Authors:
Constantin Vertan;Alina Oprea;Corneliu Florea;Laura Florea
Affiliations:
Image Processing and Analysis Laboratory, University "Politehnica" of Bucharest, Romania;Image Processing and Analysis Laboratory, University "Politehnica" of Bucharest, Romania;Image Processing and Analysis Laboratory, University "Politehnica" of Bucharest, Romania;Image Processing and Analysis Laboratory, University "Politehnica" of Bucharest, Romania
Venue:
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Year:
2008

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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).