readPNGBinary: Read PNG Binary
In handwriter: Handwriting Analysis in R

readPNGBinary

R Documentation

Read PNG Binary

Description

This function reads in and binarizes a PNG image.

Usage

readPNGBinary(
  path,
  cutoffAdjust = 0,
  clean = TRUE,
  crop = TRUE,
  inversion = FALSE
)

Arguments

`path`	File path for image.
`cutoffAdjust`	Multiplicative adjustment to the K-means estimated binarization cutoff.
`clean`	Whether to fill in white pixels with 7 or 8 neighbors. This will help a lot when thinning – keeps from getting little white bubbles in text.
`crop`	Logical value dictating whether or not to crop the white out around the image. TRUE by default.
`inversion`	Logical value dictating whether or not to flip each pixel of binarized image. Flipping happens after binarization. FALSE by default.

Value

Returns image from path. 0 represents black, and 1 represents white by default.

Examples

image_path <- system.file("extdata", "phrase_example.png", package = "handwriter")
csafe_document <- list()
csafe_document$image = readPNGBinary(image_path)
plotImage(csafe_document)

handwriter documentation built on Oct. 25, 2024, 1:06 a.m.