Files
SymbRaster/sketch.js
SallarShayegan cdace22607 refactoring
2025-02-21 19:31:39 +01:00

110 lines
3.1 KiB
JavaScript

let img;
let morphs = [];
// The order of the morphs, being mapped to the grayscale
const orderedMorphs = [5,6,0,4,1,2,3];
let count = 7;
let size = 10;
let countH = 800;
let countV = 520;
// Load the image and symbols
function preload() {
img = loadImage('/assets/mona-lisa.jpg');
for (let i = 0; i < count; i++)
morphs[i] = loadSVG(`/assets/morphs/${i}.svg`);
}
function setup() {
pixelDensity(1);
// Display the image
img.resize(0, countH);
img.filter(GRAY);
createCanvas(countV, countH);
image(img, 0, 0);
describe('Mona lisa - by Davincci');
// Load the pixels of the canvas
// This is a 1D array of integers with the rgba values of the pixels
loadPixels();
let i = 0;
let j = 0;
// Create an array containing only the grayscale of every pixel
let pixels1d = [];
// Since the picture is gray, the first 3 values (rgb) for every picture are similar
// We need the value at indexes 0,4,7,...
for (let i = 0; i < pixels.length; i += 4)
pixels1d.push(pixels[i]);
// Combine every 10 values into one by calculating their average
// Put the result in a 2D array, the rows are the pixel-rows of the image
// The columns are grayscale averages of every 10 pixel-columns of the picture
let averages = new Array(countH);
for (let i = 0; i < averages.length; i++)
averages[i] = new Array(countV/10);
let sum = 0;
for(let k = 0; k < pixels1d.length; k++) {
sum += pixels1d[k];
if (j%10 == 0) {
averages[i][Math.floor(j/10)] = sum/10;
sum = 0;
}
j++;
if (k%countV == 0 && k>0) {
i++;
j = 0;
}
}
// Combine every 10 rows into one row by calculating the average of the values of every column
// Put the result into a new array 'average2'
let sums = new Array(countV/10).fill(0);
let averages2 = new Array(countH/10);
for (let i = 0; i < averages2.length; i++)
averages2[i] = new Array(countV/10);
for (let i = 0; i < averages.length; i++) {
for (let j = 0; j < averages2[0].length; j++) {
sums[j] += averages[i][j];
if (i%10 == 0) {
averages2[i/10][j] = Math.round(sums[j]/10);
sums[j] = 0;
}
}
}
// Find the min and max value in averages2
let minGray = Infinity;
let maxGray = -Infinity;
for (let i = 0; i < averages2.length; i++) {
for (let j = 0; j < averages2[i].length; j++) {
let val = averages2[i][j];
if (val < minGray) minGray = val;
if (val > maxGray) maxGray = val;
}
}
// Scale all values of averages2 between minGray and maxGray
for (let i = 0; i < averages2.length; i++) {
for (let j = 0; j < averages2[i].length; j++) {
// Scale between 0.0 - 1.0
let normalized = (averages2[i][j] - minGray) / (maxGray - minGray);
// Map to 0 - 6 (the morph indexes)
averages2[i][j] = Math.round(normalized * 6)%7;
}
}
let svgCanvas = createGraphics(countV*2,countH,SVG);
svgCanvas.image(img, 0, 0);
for (let i = 0; i < countH/10; i++) {
for (let j = 0; j < countV/10; j++) {
svgCanvas.image(morphs[orderedMorphs[averages2[i][j]]], j*size+countV+size, i*size, size, size);
}
}
svgCanvas.save("morphed-mona-lisa.svg");
}