Abstract
The scale-space approach to the differential structure of color images was recently introduced by Geusebroek et al. [1,2], based on the pioneering work of Koenderink’s Gaussian derivative color model [5]. To master this theory faster, we present the theory as a practical implementation in the computer algebra package Mathematica for the extraction of color differential structure. Many examples are given, the practical code examples enable easy extensive experimentation. High level programming is now fast: all examples run with 5-15 seconds on typical images on a typical modern PC.
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ter Haar Romeny, B.M., Geusebroek, JM., Van Osta, P., van den Boomgaard, R., Koenderink, J.J. (2001). Color Differential Structure. In: Kerckhove, M. (eds) Scale-Space and Morphology in Computer Vision. Scale-Space 2001. Lecture Notes in Computer Science 2106, vol 2106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47778-0_33
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DOI: https://doi.org/10.1007/3-540-47778-0_33
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