feat: remove special red stamp functions

extractstamp.js

@@ -313,32 +313,6 @@ function extractCircles(img) {
   return croppedStamps;
 }
 
-function detectEllipses(dst) {
-  let thresh = new cv.Mat();
-  cv.threshold(dst, thresh, 0, 255, cv.THRESH_BINARY + cv.THRESH_OTSU);
-  let contours = new cv.MatVector();
-  let hierarchy = new cv.Mat();
-  cv.findContours(thresh, contours, hierarchy, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE);
-
-  let detectedEllipses = [];
-  let minRadius = Math.min(dst.rows, dst.cols) * 0.05; // 最小半径
-  let maxRadius = Math.min(dst.rows, dst.cols) * 0.5; // 最大半径
-
-  for (let i = 0; i < contours.size(); ++i) {
-    let cnt = contours.get(i);
-    if (cnt.rows >= 5) { // 至少需要5个点来拟合椭圆
-      let ellipse = cv.fitEllipse(cnt);
-      let avgRadius = (ellipse.size.width + ellipse.size.height) / 4; // 计算平均半径
-      if (avgRadius >= minRadius && avgRadius <= maxRadius) {
-        detectedEllipses.push(ellipse);
-      }
-    }
-  }
-
-  thresh.delete(); contours.delete(); hierarchy.delete();
-  return detectedEllipses;
-}
-
 /**
  * 提取印章圆形
  * @param {*} cvMat
@@ -416,180 +390,6 @@ function cropAndDownloadCircle(cvMat, circle) {
   return dataURL;
 }
 
-function cropAndDownloadEllipse(cvMat, ellipse) {
-  // 定义缩放因子，使裁剪范围比椭圆大一些
-  const scaleFactor = 1.2;
-  const width = ellipse.size.width > ellipse.size.height ? ellipse.size.width : ellipse.size.height;
-  const height = ellipse.size.width < ellipse.size.height ? ellipse.size.width : ellipse.size.height;
-  const scaledWidth = Math.round(width * scaleFactor);
-  const scaledHeight = Math.round(height * scaleFactor);
-
-  // 创建一个新的Mat来存储裁剪后的图像
-  let croppedMat = new cv.Mat();
-  let rect = new cv.Rect(
-    Math.round(ellipse.center.x - scaledWidth / 2),
-    Math.round(ellipse.center.y - scaledHeight / 2),
-    scaledWidth,
-    scaledHeight
-  );
-
-  // 确保裁剪区域在图像范围内
-  rect.x = Math.max(0, Math.min(rect.x, cvMat.cols - rect.width));
-  rect.y = Math.max(0, Math.min(rect.y, cvMat.rows - rect.height));
-  rect.width = Math.min(rect.width, cvMat.cols - rect.x);
-  rect.height = Math.min(rect.height, cvMat.rows - rect.y);
-
-  // 裁剪图像
-  croppedMat = cvMat.roi(rect);
-
-  // 创建椭圆形掩码
-  let mask = new cv.Mat.zeros(scaledHeight, scaledWidth, cv.CV_8UC1);
-  let center = new cv.Point(scaledWidth / 2, scaledHeight / 2);
-  let axes = new cv.Size(width / 2, height / 2);
-  cv.ellipse(mask, center, axes, ellipse.angle, 0, 360, new cv.Scalar(255, 255, 255), -1);
-
-  // 应用掩码
-  let result = new cv.Mat();
-  cv.bitwise_and(croppedMat, croppedMat, result, mask);
-
-  // 将结果转换为PNG数据URL
-  let canvas = document.createElement('canvas');
-  canvas.width = result.cols;
-  canvas.height = result.rows;
-  cv.imshow(canvas, result);
-  let dataURL = canvas.toDataURL("image/png");
-
-  // 释放内存
-  croppedMat.delete();
-  mask.delete();
-  result.delete();
-
-  return dataURL;
-}
-
-/**
- * 根据文件提取红色印章
- * @param file
- * @returns
- */
-function extractRedStampWithFile(file) {
-  return new Promise((resolve, reject) => {
-    const img = new Image();
-    img.onload = () => {
-      const dstImg = extractRedStampWithColor(img, primaryColor);
-      resolve(dstImg);
-    };
-    img.onerror = (error) => {
-      console.error("图片加载失败", error);
-      reject(new Error("图片加载失败"));
-    };
-    img.src = URL.createObjectURL(file);
-  });
-}
-
-/**
- * 提取红色印章
- * @param img 原始图片
- * @returns
- */
-function extractRedStamp(img) {
-  if (cvReady) {
-    const dstImg = extractRedStampWithColor(img, primaryColor);
-    return dstImg;
-  } else {
-    console.error("OpenCV.js 未加载");
-    return null;
-  }
-}
-
-/**
- * 提取红色印章
- * @param img
- * @param color
- * @returns
- */
-function extractRedStampWithColor(img, color = primaryColor) {
-  if (cvReady) {
-    // 获取图片的宽高
-    const imgWidth = img.width;
-    const imgHeight = img.height;
-    console.log("图片宽度:", imgWidth, "图片高度:", imgHeight);
-    let src = cv.imread(img);
-    let dst = new cv.Mat();
-    let mask = new cv.Mat();
-
-    // 转换为HSV颜色空间
-    cv.cvtColor(src, dst, cv.COLOR_RGBA2RGB);
-    cv.cvtColor(dst, dst, cv.COLOR_RGB2HSV);
-
-    // 定义红色和暗红色的HSV范围
-    let lowRedA = new cv.Mat(dst.rows, dst.cols, dst.type(), [0, 100, 100, 0]);
-    let highRedA = new cv.Mat(
-      dst.rows,
-      dst.cols,
-      dst.type(),
-      [50, 255, 255, 255]
-    );
-    let lowRedB = new cv.Mat(
-      dst.rows,
-      dst.cols,
-      dst.type(),
-      [160, 100, 100, 0]
-    );
-    let highRedB = new cv.Mat(
-      dst.rows,
-      dst.cols,
-      dst.type(),
-      [180, 255, 255, 255]
-    );
-
-    // 创建掩码
-    let maskA = new cv.Mat();
-    let maskB = new cv.Mat();
-    cv.inRange(dst, lowRedA, highRedA, maskA);
-    cv.inRange(dst, lowRedB, highRedB, maskB);
-
-
-    cv.add(maskA, maskB, mask);
-
-    // 将十六进制颜色值转换为RGB
-    const dstColor = hexToRgba(color);
-    console.log("dstColor:", dstColor);
-    // 创建纯红色图像
-    let red = new cv.Mat(src.rows, src.cols, src.type(), dstColor);
-
-    // 使用掩码将红色区域设置为纯红色
-    red.copyTo(dst, mask);
-
-    // 创建隐藏的canvas用来保存提取后的图片
-    const hiddenCanvas = document.createElement("canvas");
-    hiddenCanvas.width = dst.cols;
-    hiddenCanvas.height = dst.rows;
-    cv.imshow(hiddenCanvas, dst);
-    let dataURL = hiddenCanvas.toDataURL("image/png");
-    let link = document.createElement("a");
-    link.download = "extracted_red_image.png";
-    link.href = dataURL;
-    link.click();
-
-    // 释放内存
-    src.delete();
-    dst.delete();
-    mask.delete();
-    maskA.delete();
-    maskB.delete();
-    lowRedA.delete();
-    highRedA.delete();
-    lowRedB.delete();
-    highRedB.delete();
-    red.delete();
-    return dst;
-  } else {
-    console.error("OpenCV.js 未加载");
-    return img;
-  }
-}
-
 /**
  * 将十六进制颜色值转换为RGBA
  * @param hex
@@ -616,8 +416,6 @@ function extractStampWithImage(img, setColor) {
 
 // 在文件末尾，将函数添加到全局作用域
 window.initOpenCV = initOpenCV;
-window.extractRedStampWithFile = extractRedStampWithFile;
-window.extractRedStamp = extractRedStamp;
 window.extractStampWithFile = extractStampWithFile;
 window.extractStampWithImage = extractStampWithImage;