jscanify/src/jscanify-node.js
2023-05-08 17:17:36 -04:00

262 lines
6.9 KiB
JavaScript

/*! jscanify v1.1.0 | (c) ColonelParrot and other contributors | MIT License */
const { Canvas, createCanvas, Image, ImageData } = require("canvas");
const { JSDOM } = require("jsdom");
function installDOM() {
const dom = new JSDOM();
global.document = dom.window.document;
global.Image = Image;
global.HTMLCanvasElement = Canvas;
global.ImageData = ImageData;
global.HTMLImageElement = Image;
}
let cv;
/**
* Calculates distance between two points. Each point must have `x` and `y` property
* @param {*} p1 point 1
* @param {*} p2 point 2
* @returns distance between two points
*/
function distance(p1, p2) {
return Math.sqrt((p1.x - p2.x) ** 2 + (p1.y - p2.y) ** 2);
}
class jscanify {
constructor() {
installDOM();
}
loadOpenCV(callback) {
cv = require("./opencv");
cv["onRuntimeInitialized"] = () => {
callback(cv);
};
}
/**
* Finds the contour of the paper within the image
* @param {*} img image to process (cv.Mat)
* @returns the biggest contour inside the image
*/
findPaperContour(img) {
const imgGray = new cv.Mat();
cv.cvtColor(img, imgGray, cv.COLOR_RGBA2GRAY);
const imgBlur = new cv.Mat();
cv.GaussianBlur(
imgGray,
imgBlur,
new cv.Size(5, 5),
0,
0,
cv.BORDER_DEFAULT
);
const imgThresh = new cv.Mat();
cv.threshold(imgBlur, imgThresh, 0, 255, cv.THRESH_BINARY + cv.THRESH_OTSU);
let contours = new cv.MatVector();
let hierarchy = new cv.Mat();
cv.findContours(
imgThresh,
contours,
hierarchy,
cv.RETR_CCOMP,
cv.CHAIN_APPROX_SIMPLE
);
let maxArea = 0;
let maxContourIndex = -1;
for (let i = 0; i < contours.size(); ++i) {
let contourArea = cv.contourArea(contours.get(i));
if (contourArea > maxArea) {
maxArea = contourArea;
maxContourIndex = i;
}
}
const maxContour = contours.get(maxContourIndex);
imgGray.delete();
imgBlur.delete();
imgThresh.delete();
contours.delete();
hierarchy.delete();
return maxContour;
}
/**
* Highlights the paper detected inside the image.
* @param {*} image image to process
* @param {*} options options for highlighting. Accepts `color` and `thickness` parameter
* @returns `HTMLCanvasElement` with original image and paper highlighted
*/
highlightPaper(image, options) {
options = options || {};
options.color = options.color || "orange";
options.thickness = options.thickness || 10;
const canvas = createCanvas();
const ctx = canvas.getContext("2d");
const img = cv.imread(image);
const maxContour = this.findPaperContour(img);
cv.imshow(canvas, img);
if (maxContour) {
const {
topLeftCorner,
topRightCorner,
bottomLeftCorner,
bottomRightCorner,
} = this.getCornerPoints(maxContour, img);
if (
topLeftCorner &&
topRightCorner &&
bottomLeftCorner &&
bottomRightCorner
) {
ctx.strokeStyle = options.color;
ctx.lineWidth = options.thickness;
ctx.beginPath();
ctx.moveTo(...Object.values(topLeftCorner));
ctx.lineTo(...Object.values(topRightCorner));
ctx.lineTo(...Object.values(bottomRightCorner));
ctx.lineTo(...Object.values(bottomLeftCorner));
ctx.lineTo(...Object.values(topLeftCorner));
ctx.stroke();
}
}
img.delete();
return canvas;
}
/**
* Extracts and undistorts the image detected within the frame.
* @param {*} image image to process
* @param {*} resultWidth desired result paper width
* @param {*} resultHeight desired result paper height
* @param {*} onComplete callback with `HTMLCanvasElement` passed - the unwarped paper
* @param {*} cornerPoints optional custom corner points, in case automatic corner points are incorrect
*/
extractPaper(image, resultWidth, resultHeight, onComplete, cornerPoints) {
const canvas = createCanvas();
const img = cv.imread(image);
const maxContour = this.findPaperContour(img);
const {
topLeftCorner,
topRightCorner,
bottomLeftCorner,
bottomRightCorner,
} = cornerPoints || this.getCornerPoints(maxContour, img);
let warpedDst = new cv.Mat();
let dsize = new cv.Size(resultWidth, resultHeight);
let srcTri = cv.matFromArray(4, 1, cv.CV_32FC2, [
topLeftCorner.x,
topLeftCorner.y,
topRightCorner.x,
topRightCorner.y,
bottomLeftCorner.x,
bottomLeftCorner.y,
bottomRightCorner.x,
bottomRightCorner.y,
]);
let dstTri = cv.matFromArray(4, 1, cv.CV_32FC2, [
0,
0,
resultWidth,
0,
0,
resultHeight,
resultWidth,
resultHeight,
]);
let M = cv.getPerspectiveTransform(srcTri, dstTri);
cv.warpPerspective(
img,
warpedDst,
M,
dsize,
cv.INTER_LINEAR,
cv.BORDER_CONSTANT,
new cv.Scalar()
);
cv.imshow(canvas, warpedDst);
const canvasContext = canvas.getContext("2d");
canvasContext.save();
canvasContext.scale(1, -1);
canvasContext.drawImage(canvas, 0, -resultHeight);
canvasContext.restore();
img.delete();
warpedDst.delete();
onComplete(canvas);
}
/**
* Calculates the corner points of a contour.
* @param {*} contour contour from {@link findPaperContour}
* @returns object with properties `topLeftCorner`, `topRightCorner`, `bottomLeftCorner`, `bottomRightCorner`, each with `x` and `y` property
*/
getCornerPoints(contour) {
let rect = cv.minAreaRect(contour);
const center = rect.center;
let topLeftCorner;
let topLeftCornerDist = 0;
let topRightCorner;
let topRightCornerDist = 0;
let bottomLeftCorner;
let bottomLeftCornerDist = 0;
let bottomRightCorner;
let bottomRightCornerDist = 0;
for (let i = 0; i < contour.data32S.length; i += 2) {
const point = { x: contour.data32S[i], y: contour.data32S[i + 1] };
const dist = distance(point, center);
if (point.x < center.x && point.y > center.y) {
// top left
if (dist > topLeftCornerDist) {
topLeftCorner = point;
topLeftCornerDist = dist;
}
} else if (point.x > center.x && point.y > center.y) {
// top right
if (dist > topRightCornerDist) {
topRightCorner = point;
topRightCornerDist = dist;
}
} else if (point.x < center.x && point.y < center.y) {
// bottom left
if (dist > bottomLeftCornerDist) {
bottomLeftCorner = point;
bottomLeftCornerDist = dist;
}
} else if (point.x > center.x && point.y < center.y) {
// bottom right
if (dist > bottomRightCornerDist) {
bottomRightCorner = point;
bottomRightCornerDist = dist;
}
}
}
return {
topLeftCorner,
topRightCorner,
bottomLeftCorner,
bottomRightCorner,
};
}
}
module.exports = jscanify;