Grid-based modeling of images
Three functions are provided:
1. get_function_on_grid: This function can be used to calculate a function on a grid.
2. get_function_on_grid_prior: This function can be used to calculate a function on a grid. The parameters are passed to function using the prior variable.
3. interpolation_a_grid_on_domain: This function can be used to interpolate a calculated grid-function back on the image domain
May 30th, 2010, By Reza Farrahi Moghaddam and Rachid Hedjam, Synchromedia Lab, ETS, Montreal, Canada
For more details about the grid-based modeling, please refer to [1].
Below, an example of calculating the mean function using the grid-based modeling on an sample image is provided. First, the 'mean' function is calculated on the grid, using get_function_on_grid function. Then, the result is interpolated on the image domain using the interpolation_a_grid_on_domain function (see mypublishtest.m for the complete script):
u_avg_G = Get_function_on_grid(u, @mean, s_G, 1);
u_avg = interpolation_a_grid_on_domain(u_avg_G, xm, ym, s_G);
In cases where the function needs some prior parameters, please use Get_function_on_grid_prior function. An example is provided in mypublishtest.m
[1] R. Farrahi Moghaddam and M. Cheriet, A multi-scale
framework for adaptive binarization of degraded document images, Pattern Recognition, 43, pp. 2186--2198, 2010, DOI: 10.1016/j.patcog.2009.12.024
Zitieren als
Reza Farrahi Moghaddam (2024). Grid-based modeling of images (https://www.mathworks.com/matlabcentral/fileexchange/27808-grid-based-modeling-of-images), MATLAB Central File Exchange. Abgerufen .
Kompatibilität der MATLAB-Version
Plattform-Kompatibilität
Windows macOS LinuxKategorien
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Live Editor erkunden
Erstellen Sie Skripte mit Code, Ausgabe und formatiertem Text in einem einzigen ausführbaren Dokument.
gird-based modeling/
Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.0.0.0 |