median_filter: Smooth and median filters with options for handling NAs.

In rorynolan/nandb: Number and Brightness Image Analysis

Smooth and median filters with options for handling NAs.

Description

These are alternatives to EBImage::filter2() and EBImage::medianFilter() for smooth and median filtering respectively. These functions have many options for dealing with NA values which EBImage's functions lack.

Usage

median_filter(mat, size = 1L, na_rm = FALSE, na_count = FALSE)

smooth_filter(mat, size = 1L, na_rm = FALSE, na_count = FALSE)

Arguments

mat	A matrix (representing an image).
size	An integer; the median filter radius.
na_rm	Should NAs be ignored?
na_count	If this is TRUE, in each median calculation, if the majority of arguments are NAs, NA is returned but if the NAs are in the minority, they are ignored as in median(x, na.rm = TRUE).

Details

The behavior at image boundaries is such as the source image has been padded with pixels whose values equal the nearest border pixel value.

Value

A matrix (the median filtered image).

Examples

m <- matrix(1:9, nrow = 3)
m[2:3, 2:3] <- NA
print(m)
median_filter(m)
median_filter(m, na_rm = TRUE)
median_filter(m, na_count = TRUE)

smooth_filter(m)
smooth_filter(m, na_rm = TRUE)
smooth_filter(m, na_count = TRUE)

rorynolan/nandb documentation built on Jan. 28, 2025, 10:22 a.m.