Steerable Gaussian Filters
This program can be used to evaluate the first directional derivative of an image. The orientation of the filter can be specified by the user. In general, these filters could be useful for edge detection and image analysis.
The filters created by this program are derived from the "steerable filters" presented in:
W. T. Freeman and E. H. Adelson, "The Design and Use of Steerable Filters", IEEE PAMI, 1991.
A demonstration program (runDemo.m) is included which will create an animation showing the directional derivatives evenly-spaced from 0 degrees to 360 degrees (in 15 degree increments).
Zitieren als
Douglas Lanman (2024). Steerable Gaussian Filters (https://www.mathworks.com/matlabcentral/fileexchange/9645-steerable-gaussian-filters), MATLAB Central File Exchange. Abgerufen .
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Image Category Classification >
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Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.0.0.0 | This version addresses the comments made by Urs (us) Schwarz. The update attempts to extend the general utility of this program beyond the basic demonstration previously provided. |