IMAGing engINEs, Tools for Application of Image Filters to Data Matrices

Provides fast application of image filters to data matrices, using R and C++ algorithms.


Provides fast application of image filters to data matrices

This package uses C++ algorithms called 'engines'. More details are shown in vignette.


Get the development version from github:


Or install the CRAN version


Input data

For all functions, the main input data must be a numeric matrix object. Depending on each funtion, user must indicate some extra arguments for the filter.


Next, we show the utility of quantileFilter, one of the six functions that imagine performs.

# Load imagine
# Build an example matrix
n <- 1e3
origMatrix <- matrix(seq(n^2), nrow = n)
# Add some NAs
origMatrix_withNA <- origMatrix
origMatrix_withNA[sample(seq(n^2), 0.7*n^2, replace = FALSE)] <- NA
# Apply filter
newMatrix <- quantileFilter(X = origMatrix_withNA, radius = 3, x = 0.1, times = 1)
# Plot matrices for compare
cols <- colorRampPalette(c("green3", "red4"))(n)
par(mar = c(0, 2, 0, 0), mfrow = c(3, 1))
image(origMatrix, col = cols, axes = FALSE)
mtext(text = "Original", side = 2, line = 0.5, font = 2)
image(origMatrix_withNA, col = cols, axes = FALSE)
mtext(text = "Original with NAs", side = 2, line = 0.5, font = 2)
image(newMatrix, col = cols, axes = FALSE)
mtext(text = "Filtered", side = 2, line = 0.5, font = 2)


Reference manual

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1.5.3 by Wencheng Lau-Medrano, 2 years ago

Report a bug at

Browse source code at

Authors: Wencheng Lau-Medrano [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp

Suggests knitr, rmarkdown

Linking to Rcpp

Depended on by grec.

See at CRAN