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

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

imagine ======= Imaging Engine, Tools for Application of Image Filters to Data Matrices

This package was built to take numeric data matrices and apply image-filtering algoriths.

Get the development version from github:

Install from CRAN


For all functions, the main input data must be a numaric 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(dataMatrix = 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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1.3.1 by Wencheng Lau-Medrano, 3 months 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

Imported by oXim.

Depended on by grec.

See at CRAN