Gaussian Filter, values and spectral analysis
Versión 3.0.1 (3,09 MB) por
Peter Seibold
Determine Gaussian 2D digital filters, determine integer and floating values. Analyse spectral behavior. Verify with artifical images.
Purpose:
Determine Gaussian 2D digital filters with integer numbers and sums=2^n , n is integer. The filters are designed especially for FPGA. Divisions may be replaced by much faster shift operations.
Features:
Create 2D Gaussian filters with following properties:
- Expose full digital filters that have a sum of 2n , with n as integer number.
- Create also floating numbers filter.
- Determine optimal filter by spectrum.
- Plot spectral properties.
- See results on artificial images.
Citar como
Peter Seibold (2020). Gaussian Filter, values and spectral analysis, MATLAB Central File Exchange. Retrieved December, 2022
Compatibilidad con la versión de MATLAB
Se creó con
R2016a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Image Category Classification >
Más información sobre Image Category Classification en Help Center y MATLAB Answers.
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Versión | Publicado | Notas de la versión | |
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3.0.1 | Changed title |
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3.0.0 | Deep spectral analysis included |
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2.0.0.1 | For some reason the image of this page was not updated. |
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2.0.0.0 | New method: calculate filter coefficients by Gaussian volume, see explanation.pdf. |
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1.0.0.0 |