Discuss the use of R in image transformation giving suitable examples.

R is a powerful statistical computing language that extends its capabilities to various fields, including digital image processing. Although not traditionally associated with image processing, R's versatility and the availability of specialized packages make it a suitable tool for image transformation tasks. This discussion explores the use of R in image transformation, highlighting key functions and providing examples to illustrate its capabilities.

Image Transformation Basics

Image transformation in digital image processing involves altering the spatial properties of an image, such as scaling, rotating, and translating. These transformations are crucial for various applications, including image analysis, feature extraction, and data augmentation. In R, image transformation can be achieved through several packages, notably `magick` and `imager`.

The `magick` Package

The `magick` package is an R interface to the ImageMagick library, which provides a range _________ ___ _____ ____ ___ ____ ___ ___.
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