Module imgproc_rs::filter

A module for image filtering operations

Functions

alpha_trimmed_mean_filter	Applies an alpha-trimmed mean filter, where each output pixel is the mean of the pixels in a (2 * radius + 1) x (2 * radius + 1) kernel in the input image, with the lowest alpha / 2 pixels and the highest alpha / 2 pixels removed.
bilateral_filter	Applies a bilateral filter using CIE LAB
box_filter	Applies a normalized box filter using a size x size kernel
derivative_mask	Applies a separable derivative mask to a grayscale image
filter_1d	Applies a 1D filter. If is_vert is true, applies kernel as a vertical filter; otherwise applies kernel as a horizontal filter
gaussian_blur	Applies a Gaussian blur using a size x size kernel
laplacian	Applies the Laplacian operator to a grayscale image. Output contains positive and negative values - use normalize_laplacian() for visualization
laplacian_of_gaussian	Applies the Laplacian of Gaussian operator using a size x size kernel to a grayscale image. Output contains positive and negative values - use normalize_laplacian() for visualization
linear_filter	Applies a linear filter using the 2D kernel
median_filter	Applies a median filter, where each output pixel is the median of the pixels in a (2 * radius + 1) x (2 * radius + 1) kernel in the input image. Based on Ben Weiss’ partial histogram method, using a tier radix of 2. A detailed description can be found here.
normalize_laplacian	Normalizes the result of a Laplacian or Laplacian of Gaussian operator to the range [0, 255]
prewitt	Applies the Prewitt operator to a grayscale image
residual	Returns the residual image of a filter operation
separable_filter	Applies a separable linear filter by first applying vert_kernel and then horz_kernel
sharpen	Sharpens image
sobel	Applies the Sobel operator to a grayscale image
sobel_weighted	Applies a Sobel operator with weight weight to a grayscale image
threshold	Performs a thresholding operation based on method
unseparable_filter	Applies an unseparable linear filter
unsharp_masking	Sharpens image by applying the unsharp masking kernel
weighted_avg_filter	Applies a weighted average filter using a size x size kernel with a center weight of weight