# (C) Copyright 2017 Sur Herrera Paredes
#
# This file is part of RosetteDetector.
#
# RosetteDetector is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# RosetteDetector is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with RosetteDetector. If not, see <http://www.gnu.org/licenses/>.
#' Get feature values
#'
#' From an image it calculates 3 values per color chanel.
#'
#' It obtrains the chanel intensity, as well as the chanel intensity gradient
#' and gradient orientation.
#'
#' @param Img An image object. Should be from EBImage, but any three dimensional
#' matrix with 3 chanels specified by the last dimension should work.
#'
#' @return A data.frame with feature values for all pixels
#'
#' @author Sur Herrera Paredes
#'
#' @export
get_values <- function(Img){
# Img <- Images[[1]]
# Get gradients
Grad_R <- calculate_gradient(Img$img[,,1])
Grad_G <- calculate_gradient(Img$img[,,2])
Grad_B <- calculate_gradient(Img$img[,,3])
# make table
#img.molten <- melt(Img$mask)
img.molten <- melt_channels(Img$img)
img.molten$mag_R <- melt(Grad_R$magnitude)$value
img.molten$mag_G <- melt(Grad_G$magnitude)$value
img.molten$mag_B <- melt(Grad_B$magnitude)$value
img.molten$or_R <- melt(Grad_R$orientation)$value
img.molten$or_G <- melt(Grad_G$orientation)$value
img.molten$or_B <- melt(Grad_B$orientation)$value
img.molten[is.na(img.molten)] <- 0
return(img.molten)
}
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