Paper
13 November 2001 3D filter design for color pattern recognition
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Abstract
A color image is considered as a three-dimensional function in which the third dimension is the color axis. This approach permits the 3D generalization of the correlation between two images and the frequency filter design. In this work we analyze the properties of this 3D Fourier transform. Color pattern recognition is performed by means of a 3D correlation between an input colored image and the pattern to be detected. The spectrum whitening operation is analyzed in terms of the color transformation and some previously proposed element-wise transformations designed to improve the discrimination are revisited in this sense.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maria Josefa Yzuel, Josep Nicolas, I. Moreno, and Juan Campos "3D filter design for color pattern recognition", Proc. SPIE 4471, Algorithms and Systems for Optical Information Processing V, (13 November 2001); https://doi.org/10.1117/12.449354
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KEYWORDS
3D image processing

Fourier transforms

Optical filters

RGB color model

Pattern recognition

Image filtering

3D acquisition

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