.jpg
images and convert them to list of coordinates.import.jpg(jpg.list)
import.multi1.jpg(path)
import.img.prepare(path)
import.img.Conte(img, x, auto=TRUE, plot=TRUE)
vector
of character
containing the path to your .jpg
images.character
. A single path to a .jpg
image.imagematrix
object.vector
of $(x; y)$ coordinates from where to start Conte algorithm.logical
. Whether to try or not to start at the center of the image(s) before asking the user to click within the shape.logical
. Whether to plot or not the image. Used internally by import.multi1.jpg
to not reload the same image.import.jpg
returns a list of (from 1 to thousands) $(x; y)$ coordinates arranged as matrices and that can be then converted to a Coo
-object. import.multi1.jpg
returns a list
of $(x; y)$ coordinates. import.img.prepare
returns an imagematrix
object, import.img.Conte
returns a matrix of $(x; y)$ coordinates.import.jpg
. import.img.prepare
and import.img.Conte
are typically not used by front-user but internally by import.jpg
. They clean, binarize, threshold, etc. raw .jpg images and extract a list of coordinates from a black and white imagematrix
, respectively. The best option is to work with black and white .jpg
image with the black mask of the outline overlapping the center of the image.
import.multi1.jpg
helps to extract several outlines from the same .jpg
image.Due to troubles with ReadImages and the recent change towards the jpeg package for import of images, they MUST be converted to black and white images before being imported.
jpg.list <- list.files(path_to_your_folder_containing_.txt_files, full=TRUE)
I <- import.jpg(jpg.list)
Coo(I)
Run the code above in your browser using DataLab