Hard low pass, high pass, and band pass filtering for images
Takes input image, modifies its frequency domain according to upper and lower spatial frequency thresholds, and returns the filtered image. This is a "hard" filter in that all values in the frequency domain within the threshold frequencies are multiplied by 1 and all values outside of the thresholds are multiplied by 0.
This program is useful for isolating specific frequencies; however, some filtered images come back with "wavy" artifacts, especially around the edges, as a result of the discontinuous nature of the filter. I will soon be uploading a Gaussian filter in which the user-specified thresholds correspond to the full width at half maximum (FWHM) of the Gaussian function. That filter will produce much smoother images but is not as good at isolating specific wavelengths. Your choice of filter will depend on the application for which to intend to use it.
This function also includes a scale factor for physical data. This should be utilized any time the height of an image differs physically from its width (e.g. an image that physically represents a 2 mm x 3 mm area).
Please see function description and examples for a more in-depth explanation and demonstration of its use.
引用格式
Evan Czako (2024). Hard low pass, high pass, and band pass filtering for images (https://github.com/EvanCzako/hard-low-high-band-pass-image-filters), GitHub. 检索来源 .
MATLAB 版本兼容性
平台兼容性
Windows macOS Linux类别
- Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > Image Filtering >
标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!无法下载基于 GitHub 默认分支的版本
版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.0.1 | Connected to GitHub. |
|
|
1.0.0 |