Gaussian Filter, values and spectral analysis
Version 3.0.1 (3,09 Mo) par
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.
Citation pour cette source
Peter Seibold (2020). Gaussian Filter, values and spectral analysis, MATLAB Central File Exchange. Retrieved December, 2022
Compatibilité avec les versions de MATLAB
Créé avec
R2016a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS LinuxCatégories
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Image Category Classification >
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Version | Publié le | Notes de version | |
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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 |