mirror of
https://github.com/ColonelParrot/jscanify.git
synced 2025-12-30 22:31:52 +00:00
269 lines
6.9 KiB
JavaScript
269 lines
6.9 KiB
JavaScript
/*! jscanify v1.4.0 | (c) ColonelParrot and other contributors | MIT License */
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const { Canvas, createCanvas, Image, ImageData } = require("canvas");
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const { JSDOM } = require("jsdom");
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function installDOM() {
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const dom = new JSDOM();
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global.document = dom.window.document;
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global.Image = Image;
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global.HTMLCanvasElement = Canvas;
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global.ImageData = ImageData;
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global.HTMLImageElement = Image;
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}
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let cv;
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/**
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* Calculates distance between two points. Each point must have `x` and `y` property
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* @param {*} p1 point 1
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* @param {*} p2 point 2
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* @returns distance between two points
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*/
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function distance(p1, p2) {
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return Math.hypot(p1.x - p2.x, p1.y - p2.y);
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}
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class jscanify {
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constructor() {
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installDOM();
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}
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loadOpenCV(callback) {
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cv = require("./opencv");
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cv["onRuntimeInitialized"] = () => {
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callback(cv);
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};
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}
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/**
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* Finds the contour of the paper within the image
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* @param {*} img image to process (cv.Mat)
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* @returns the biggest contour inside the image
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*/
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findPaperContour(img) {
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const imgGray = new cv.Mat();
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cv.Canny(img, imgGray, 50, 200);
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const imgBlur = new cv.Mat();
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cv.GaussianBlur(
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imgGray,
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imgBlur,
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new cv.Size(3, 3),
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0,
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0,
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cv.BORDER_DEFAULT
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);
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const imgThresh = new cv.Mat();
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cv.threshold(imgBlur, imgThresh, 0, 255, cv.THRESH_BINARY + cv.THRESH_OTSU);
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let contours = new cv.MatVector();
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let hierarchy = new cv.Mat();
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cv.findContours(
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imgThresh,
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contours,
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hierarchy,
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cv.RETR_CCOMP,
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cv.CHAIN_APPROX_SIMPLE
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);
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let maxArea = 0;
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let maxContourIndex = -1;
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for (let i = 0; i < contours.size(); ++i) {
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let contourArea = cv.contourArea(contours.get(i));
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if (contourArea > maxArea) {
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maxArea = contourArea;
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maxContourIndex = i;
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}
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}
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const maxContour =
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maxContourIndex >= 0 ?
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contours.get(maxContourIndex) :
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null;
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imgGray.delete();
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imgBlur.delete();
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imgThresh.delete();
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contours.delete();
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hierarchy.delete();
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return maxContour;
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}
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/**
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* Highlights the paper detected inside the image.
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* @param {*} image image to process
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* @param {*} options options for highlighting. Accepts `color` and `thickness` parameter
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* @returns `HTMLCanvasElement` with original image and paper highlighted
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*/
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highlightPaper(image, options) {
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options = options || {};
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options.color = options.color || "orange";
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options.thickness = options.thickness || 10;
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const canvas = createCanvas();
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const ctx = canvas.getContext("2d");
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const img = cv.imread(image);
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const maxContour = this.findPaperContour(img);
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cv.imshow(canvas, img);
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if (maxContour) {
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const {
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topLeftCorner,
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topRightCorner,
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bottomLeftCorner,
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bottomRightCorner,
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} = this.getCornerPoints(maxContour, img);
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if (
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topLeftCorner &&
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topRightCorner &&
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bottomLeftCorner &&
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bottomRightCorner
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) {
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ctx.strokeStyle = options.color;
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ctx.lineWidth = options.thickness;
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ctx.beginPath();
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ctx.moveTo(...Object.values(topLeftCorner));
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ctx.lineTo(...Object.values(topRightCorner));
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ctx.lineTo(...Object.values(bottomRightCorner));
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ctx.lineTo(...Object.values(bottomLeftCorner));
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ctx.lineTo(...Object.values(topLeftCorner));
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ctx.stroke();
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}
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}
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img.delete();
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return canvas;
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}
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/**
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* Extracts and undistorts the image detected within the frame.
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*
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* Returns `null` if no paper is detected.
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*
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* @param {*} image image to process
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* @param {*} resultWidth desired result paper width
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* @param {*} resultHeight desired result paper height
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* @param {*} cornerPoints optional custom corner points, in case automatic corner points are incorrect
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* @returns `HTMLCanvasElement` containing undistorted image
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*/
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extractPaper(image, resultWidth, resultHeight, cornerPoints) {
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const canvas = createCanvas();
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const img = cv.imread(image);
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const maxContour = cornerPoints ? null : this.findPaperContour(img);
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if(maxContour == null && cornerPoints === undefined){
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return null;
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}
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const {
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topLeftCorner,
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topRightCorner,
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bottomLeftCorner,
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bottomRightCorner,
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} = cornerPoints || this.getCornerPoints(maxContour, img);
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let warpedDst = new cv.Mat();
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let dsize = new cv.Size(resultWidth, resultHeight);
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let srcTri = cv.matFromArray(4, 1, cv.CV_32FC2, [
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topLeftCorner.x,
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topLeftCorner.y,
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topRightCorner.x,
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topRightCorner.y,
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bottomLeftCorner.x,
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bottomLeftCorner.y,
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bottomRightCorner.x,
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bottomRightCorner.y,
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]);
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let dstTri = cv.matFromArray(4, 1, cv.CV_32FC2, [
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0,
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0,
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resultWidth,
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0,
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0,
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resultHeight,
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resultWidth,
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resultHeight,
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]);
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let M = cv.getPerspectiveTransform(srcTri, dstTri);
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cv.warpPerspective(
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img,
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warpedDst,
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M,
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dsize,
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cv.INTER_LINEAR,
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cv.BORDER_CONSTANT,
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new cv.Scalar()
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);
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cv.imshow(canvas, warpedDst);
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img.delete();
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warpedDst.delete();
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return canvas;
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}
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/**
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* Calculates the corner points of a contour.
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* @param {*} contour contour from {@link findPaperContour}
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* @returns object with properties `topLeftCorner`, `topRightCorner`, `bottomLeftCorner`, `bottomRightCorner`, each with `x` and `y` property
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*/
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getCornerPoints(contour) {
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let rect = cv.minAreaRect(contour);
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const center = rect.center;
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let topLeftCorner;
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let topLeftCornerDist = 0;
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let topRightCorner;
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let topRightCornerDist = 0;
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let bottomLeftCorner;
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let bottomLeftCornerDist = 0;
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let bottomRightCorner;
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let bottomRightCornerDist = 0;
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for (let i = 0; i < contour.data32S.length; i += 2) {
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const point = { x: contour.data32S[i], y: contour.data32S[i + 1] };
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const dist = distance(point, center);
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if (point.x < center.x && point.y < center.y) {
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// top left
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if (dist > topLeftCornerDist) {
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topLeftCorner = point;
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topLeftCornerDist = dist;
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}
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} else if (point.x > center.x && point.y < center.y) {
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// top right
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if (dist > topRightCornerDist) {
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topRightCorner = point;
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topRightCornerDist = dist;
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}
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} else if (point.x < center.x && point.y > center.y) {
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// bottom left
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if (dist > bottomLeftCornerDist) {
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bottomLeftCorner = point;
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bottomLeftCornerDist = dist;
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}
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} else if (point.x > center.x && point.y > center.y) {
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// bottom right
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if (dist > bottomRightCornerDist) {
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bottomRightCorner = point;
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bottomRightCornerDist = dist;
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}
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}
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}
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return {
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topLeftCorner,
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topRightCorner,
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bottomLeftCorner,
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bottomRightCorner,
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};
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}
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}
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module.exports = jscanify;
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