![]() ![]() Scale_y_continuous(expand=c(0,0), trans=reverse_trans())+ ![]() Geom_segment(aes(x = x1, y = y1, xend = x2, yend = y2), color="black", lwd=1) + ![]() # This is just to add some alpha to lines depending on its longitudeĪlpha=findInterval(long, quantile(long, probs = seq(0, 1, length.out = 20)))/21)-> data # Function to compute and plot Voronoi tesselation depending on sample size Summarize(xmin=min(x), xmax=max(x), ymin=min(y), ymax=max(y)) %>% Load.image("frankenstein.jpg") %>% grayscale() -> x I gathered all previous images in this gif created with magick, another amazing package of R I discovered recently:ĭownload.file(file, destfile = "frankenstein.jpg", mode = 'wb') The next grid shows tesselations for sample size from 500 to 12.000 points and step equal to 500: Step 5 was done with deldir, also a convenient package which computes Delaunay triangulation and the Dirichlet or Voronoi tessellations. Steps 1 to 3 were done with imager, a very appealing package to proccess and analice images. These live performances were recorded at the Bearsville Theater in Woodstock, N.Y., shortly before the release of their latest album, First Two Pages of Frankenstein. Share a GIF and browse these related GIF tags halloween horror movie movieclipsdotcom monster SD 7. The GIF dimensions 320 x 240px was uploaded by anonymous user. Latest Frankenstein GIFs Gfycat frankenstein GIFs frankenstein. Obtain a random sample of black pixels (previous image corresponds to a sample of 6.000 points) On Saturday, Miley Cyrus continued to promote her album Endless Summer Vacation with sexy pics on the Instagram timeline, posting a shot of herself in nothing but a pair of jeans while stretched. Open & share this gif frankenstein, with everyone you know.Turn it into a pure black and white image.This is a Voronoi diagraman of Frankenstein: You can find good explanations of Voronoi diagrams and Delaunay triangulations here (in English) or here (in Spanish).Ī grayscale image is simply a matrix where darkness of pixel located in coordinates (i, j) is represented by the value of its corresponding element of the matrix: a grayscale image is a dataset. This is a nice example of a Voronoi tesselation. Each polygon, or Voronoi cell, contains an original point and all that are closer to that point than any other. Remember me, remember me, but ah! forget my fate (Dido’s Lament, Henry Purcell)Ī Voronoi diagram divides a plane based on a set of original points. ![]()
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