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V1.0.1（2022-04-13） 下载此版本

基于https:/github.com/sanyuered/WeChat-MiniProgram-AR-WASM修改而来

平台兼容性

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组件名：opencv-uni 代码块： opencv-exec

使用方法

1. 放置代码 下载ZIP压缩包，解压得到opencv文件夹，将整个文件夹放置在/static/js/目录下面

2. 使用示例 前端代码

   <view class="panel__bd">
   <image class="inputImage" :src="imageUrl"  mode="" style="width:750rpx;height:425rpx;"></image>
   <canvas id="canvas" type="2d" class="visibleCanvas" style="width:750rpx;height:425rpx;"></canvas>
   <view class="button-box">
       <button @click="button1" class="marginTop10" >灰度化</button>
       <button @click="button2" class="marginTop10" >边缘检测</button>
       <button @click="button3" class="marginTop10">特征点检测</button>
       <button @click="button4" class="marginTop10">轮廓提取</button>
   </view>
   </view>

   js代码

   // 画布
   const canvas = 'canvas'
   // 示例图片
   const imageUrl="http://news.youth.cn/sh/201605/W020160510004428589095.jpg"
   // wasm路径
   global.wasm_url = '/static/js/opencv/opencv3.4.16.wasm.br'
   // opencv_exec.js会从global.wasm_url获取wasm路径
   let cv = require('../../static/js/opencv/opencv_exec.js');
   export default {
       data() {
           return {                
               canvasWidth: 375,
               canvasHeight: 236,
               // 示例图片
               imageUrl: imageUrl,
               canDom:"",
           }
       },
       onReady: function (e) {
           this.init(canvas)
       },
   
       methods: {// 获取画布
           init(canvasId) {
               let _that = this;
               uni.createSelectorQuery()
                   .select('#' + canvasId)
                   .fields({ node: true, size: true })
                   .exec((res) => {
                       const canvas2d = res[0].node;
                       // 设置画布的宽度和高度
                       canvas2d.width = res[0].width;
                       canvas2d.height = res[0].height;
                       _that.canDom = canvas2d
                   });
           },
   
           // 创建图像对象
           async createImageElement() {
               let _that = this;
               // 创建2d类型的离屏画布（需要微信基础库2.16.1以上）
               let offscreenCanvas = uni.createOffscreenCanvas({type: '2d', width: this.canvasWidth, height: this.canvasHeight});
               const image = offscreenCanvas.createImage();
               await new Promise(function (resolve, reject) {
                   image.onload = resolve;
                   image.onerror = reject;
                   image.src = _that.imageUrl
               })
   
               // 离屏画布的宽度和高度不能小于图像的
               offscreenCanvas.width = this.canvasWidth;
               offscreenCanvas.height = this.canvasHeight;
               // draw image on canvas
               let ctx = offscreenCanvas.getContext('2d')
               ctx.drawImage(image, 0, 0, this.canvasWidth, this.canvasHeight);
               // get image data from canvas
               let imgData = ctx.getImageData(0, 0, this.canvasWidth, this.canvasHeight);
               return imgData;
           },
   
           async button1() {
               let _that = this;
               // 将图像转换为ImageData
               let imageData = await _that.createImageElement()
               // _that.imgProcess1(image1Data, _that.canDom)
   
               // 读取图像
               let src = cv.imread(imageData);
   
               let dst = new cv.Mat();
               // 灰度化
               cv.cvtColor(src, dst, cv.COLOR_RGBA2GRAY, 0);
               // 显示图像
               cv.imshow(_that.canDom, dst);
               // 回收对象
               src.delete();
               dst.delete()
           },
           async button2() {
               // 同上
               let _that = this;
               const imageData = await _that.createImageElement()          
   
               let src = cv.imread(imageData);
               let dst = new cv.Mat();
   
               // 灰度化
               cv.cvtColor(src, src, cv.COLOR_BGR2GRAY, 0);
               let ksize = new cv.Size(5, 5)
               cv.GaussianBlur(src, src, ksize, 0, 0)//高斯模糊
   
               let esize = new cv.Size(3, 3)
               let element = cv.getStructuringElement(cv.MORPH_RECT, esize)
               cv.dilate(src, src, element) //实现过程中发现，适当的膨胀很重要
   
               let low = Math.ceil(src.cols / 30)
               cv.Canny(src, dst, 30, 100, 3) //边缘提取
   
               cv.imshow(_that.canDom, dst);
               src.delete();
               dst.delete()
           },
           async button3() {
               // 同上
               let _that = this;
               const imageData =await _that.createImageElement()
               // _that.imgProcess3(imageData, _that.canDom)
   
               let src = cv.imread(imageData);
               let dst = new cv.Mat();
   
               // 灰度化
               cv.cvtColor(src, src, cv.COLOR_RGBA2GRAY, 0);
   
               let orb = new cv.ORB();
               let keypoints = new cv.KeyPointVector();
               let descriptors = new cv.Mat();
               // 特征点
               orb.detect(src, keypoints)
               // 特征点的描述因子
               orb.compute(src, keypoints, descriptors)
               // 绘制特征点
               cv.drawKeypoints(src, keypoints, dst)
   
               cv.imshow(_that.canDom, dst);
               src.delete();
               dst.delete()
           },
           async button4() {
               let ratio = 1
               // 同上
               let _that = this;
               const imageData = await _that.createImageElement()          
   
               let src = cv.imread(imageData);
               let mat = src.clone()
               // 灰度化
               cv.cvtColor(src, src, cv.COLOR_BGR2GRAY, 0);
               let ksize = new cv.Size(5, 5)
               cv.GaussianBlur(src, src, ksize, 0, 0)//高斯模糊
   
               let esize = new cv.Size(3, 3)
               let element = cv.getStructuringElement(cv.MORPH_RECT, esize)
               cv.dilate(src, src, element) //实现过程中发现，适当的膨胀很重要
   
               let low = Math.ceil(src.cols / 30)
               cv.Canny(src, src, 30, 100, 3) //边缘提取
   
               let contours = new cv.MatVector()
               let contours2 = new cv.MatVector()
               let hierarchy = new cv.Mat()
               cv.findContours(src, contours, hierarchy, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_NONE)
                //轮廓筛选
               let parentIdx = -1
               let max_aera = 0
               let contours3 = new cv.MatVector()
               for (let i = 0; i < contours.size(); i++) {
                 let cnt = contours.get(i)
                 let area = Math.abs(cv.contourArea(cnt))
                 if (max_aera < area) {
                   max_aera = area
                   parentIdx = i
                 }
               }
   
                if (parentIdx != -1) {
                     let color = new cv.Scalar(0, 255, 0, 255)
                     let mat3 = cv.Mat.zeros(src.rows / ratio, src.cols / ratio, cv.CV_8UC3)
                     //找到定位点信息
                     contours2.push_back(contours.get(parentIdx))
   
                     let points = []
                     let points2 = []
                     let cnt = contours2.get(0)
                     let tmp = new cv.Mat()
                     let cnt_len = cv.arcLength(cnt, true) //计算轮廓周长
                     cv.approxPolyDP(cnt, tmp, 0.02 * cnt_len, true) //多边形逼近
   
                   for (let i = 0; i < tmp.total(); i++) {
                     points[i] = { x: points2[i * 2], y: points2[i * 2 + 1] }
                     // cv.circle(mat3, points[i], 3, color, 1) //画顶点
                   }
   
                   // 绘制轮廓
                   // cv.drawContours(mat3, contours2, 0, color, cv.FILLED)
                   cv.drawContours(mat3, contours2, 0, color, 2)
                   cv.imshow(_that.canDom, mat3)
                   mat3.delete()
               } else {
                 console.log('识别失败')
               }
   
               src.delete();
           },
   
       }
   }

css代码

.title{
    width: 750rpx;
    height: 60rpx;
    background-color: #00aa00;
    font-size: 30rpx;
    text-align:center;
    margin-top: 20rpx;
    // margin-bottom: 20rpx;
    color: #ffffff;
}
.visibleCanvas{
    margin-top: 25rpx;

}
.button-box{
    width: 750rpx;
    height: 80rpx;
    padding-top: 10rpx;
    button{
        width: 600rpx;
        height: 70rpx;
        font-size: 24rpx;
        background-color: #4CD964;
        color: #ffffff;
        // line-height: 50rpx;
        border-radius: 50rpx;
        margin-top: 20rpx;
    }
}