## ----setup, include = FALSE---------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ---- echo=FALSE, fig.width=7, fig.height=4, fig.cap = "Figure 1"-------- library(countcolors) original.img <- system.file("extdata", "bat_wing.png", package ="countcolors") pixel.array <- colordistance::loadImage(original.img) countcolors::plotArrayAsImage(pixel.array$original.rgb) ## ---- echo=FALSE, fig.width=8, fig.height=5, fig.cap = "Figure 2"-------- library(countcolors) original.img <- system.file("extdata", "photoshop.png", package ="countcolors") pixel.array <- colordistance::loadImage(original.img) countcolors::plotArrayAsImage(pixel.array$original.rgb) ## ---- echo=FALSE, fig.width=7, fig.height=5, fig.cap = "Figure 3"-------- library(countcolors) original.img <- system.file("extdata", "white_bg.png", package ="countcolors") pixel.array <- colordistance::loadImage(original.img) countcolors::plotArrayAsImage(pixel.array$original.rgb) ## ---- fig.width = 7------------------------------------------------------ # Load required package: library(countcolors) # Define lower and upper limit for color range using RGB pixel coordinates # Typical RGB values range between 0 and 255, but R scales them to range between # 0 and 1, where 1 is maximum brightness lower.rectangular <- c(0.223, 0.222, 0.210) upper.rectangular <- c(0.411, 0.486, 0.501) # Define background color that will be excluded (in our case white) bg.upper <- c(1, 1, 1) bg.lower <- c(0.8, 0.8, 0.8) # Define path to background-masked image # Typically, this will take the format of "[path/to/directory]/image_name.jpeg" # Here, we're using an image that is included in the package, accessed through # the system.file function image.name <- system.file("extdata", "white_bg.png", package = "countcolors") # Find pixels using rectangular range and replace those pixels with another color # Magenta is used in this example wingfraction <- countColors(image.name, color.range = "rectangular", upper = upper.rectangular, lower = lower.rectangular, bg.upper = bg.upper, bg.lower = bg.lower, target.color = "magenta", plot = TRUE)