R/pixelclasser-package.R

#' pixelclasser: Functions to classify pixels by colour
#'
#' \code{pixelclasser} contains functions to classify the pixels of a digital
#' image file (in format jpeg or tiff) by its colour. It uses a simple form of
#' the technique known as Support Vector Machine, adapted to this particular
#' problem. The original colour variables (\code{R, G, B}) are transformed into
#' colour proportions (\code{r, g, b}), and the resulting two dimensional plane,
#' defined by any convenient pair of the transformed variables is divided in
#' several subsets (categories) by one or more straight lines (rules) manually
#' selected by the user. Finally, the pixels belonging to each category are
#' identified using the rules, and a classified image can be created and saved.
#'
#' @details To classify the pixels of an image, a series of steps must be done
#'   in the following order, using the functions shown in parenthesis:
#'   \itemize{
#'   \item import the image into an R array of transformed (\code{rgb}) data
#'   (using \code{read_image()}).
#'   \item plot the pixels of the image on the plane of two transformed
#'   variables that shows the categories of pixels most clearly
#'   (\code{plot_rgb_plane()}, \code{plot_pixels}).
#'   \item trace lines between the pixel clusters and use them to create
#'   classification rules (\code{place_rule()}, \code{pixel_rule},
#'   \code{plot_rule()}). The user places the lines manually.
#'   \item combine the rules to define categories. Sometimes the rules are
#'   combined into subcategories and these into categories
#'   (\code{pixel_category()}, \code{pixel_subcategory()}).
#'   \item use the categories to classify the pixels (\code{classify_pixels()}).
#'   \item save the results of the classification as an image, if needed
#'   (\code{save_clasif_image()}). }
#'
#'   These steps are explained in depth in the vignette included in the package.
#'
#' @author Carlos Real (carlos.real@usc.es)
#'
#' @docType package
#' @name pixelclasser
#' @import jpeg tiff
#'   
"_PACKAGE"
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pixelclasser documentation built on Oct. 18, 2023, 5:08 p.m.