imager: A Comprehensive Guide to Image Analysis in R

btd
3 min readNov 24, 2023

The imager package in R is a powerful tool for processing and analyzing images. It provides a wide range of functions for image manipulation, transformation, filtering, and analysis. Below is a detailed guide on using the imager package for image processing and analysis.

I. The imager Package in R

1. Install and Load the imager Package:

install.packages("imager")
library(imager)

2. Read and Display an Image:

# Load an example image
img <- load.image(system.file("extdata", "parrots.png", package="imager"))

# Display the image
plot(img)

3. Image Properties:

# Get image properties
width(img)
height(img)
channels(img)

4. Image Processing:

Resizing:

# Resize the image
resized_img <- resize(img, width = 100, height = 100)

Filtering:

# Apply a Gaussian filter
filtered_img <- gaussian(img, sigma = 2)

Color Manipulation:

# Convert to grayscale
gray_img <- grayscale(img)

5. Histogram and Intensity Analysis:

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