Halcon实用系列1-识别二维条码

在做项目时，之前使用的是某康的智能读码器，综合考虑成本，可通过相机拍照来读取图片的二维码，我这边用Halcon来实现。

Halcon代码如下：

*创建模型
create_data_code_2d_model('Data Matrix ECC 200', [], [], DataCodeHandle)

*设置条码极性
set_data_code_2d_param(DataCodeHandle, 'polarity', 'any')

*解码时长的设置，超时直接将条码丢弃
set_data_code_2d_param(DataCodeHandle, 'timeout', 200)

*开始二维码识别
read_image (Image, 'C:/Users/Administrator/Desktop/AirPods/Image_20220815110012088.bmp')

*开始计时
count_seconds(Seconds)

*解析二维码
find_data_code_2d(Image, SymbolXLDs, DataCodeHandle, [], [], ResultHandles, DecodedDataStrings)

*结束计时
count_seconds(Seconds1)

*累计耗时
time:=Seconds1-Seconds


*判断解码结果是否有结果
tuple_length(DecodedDataStrings, Length)
if (Length>0)
    *//获取区域
    concat_obj(SymbolXLDs, SymbolXLDs, ObjectsConcat)

    dev_clear_window ()
    dev_display (Image)
    *绘制区域
    dev_display(ObjectsConcat)

    *显示二维码
    dev_disp_text(DecodedDataStrings, 'window', 'top', 'left', 'black', [], [])
endif

 显示效果：

可以看出几十毫秒可以解读条码，如要识别其他类型的二维码，可更改create_data_code_2d_model算子的参数。

那么如何将Halcon代码转化为C#可调用的方法？

1 先将Halcon代码导出，得到cs文件

 2 在VS中添加Halcon的引用，并将方法调整，我这里是结合OpencvSHarp

调整后的方法：

/// <summary>
        ///  识别 Data Matrix ECC 200
        /// </summary>
        /// <param name="ho_InputImage">图片对象</param>
        /// <returns></returns>
        private string ReadDataMatrix(HObject ho_InputImage)
        {
            string result = string.Empty;
            // Local iconic variables
            HObject ho_SymbolXLDs;
            HObject ho_ObjectsConcat = null;
            // Local control variables
            HTuple hv_DataCodeHandle = new HTuple(), hv_Seconds = new HTuple();
            HTuple hv_ResultHandles = new HTuple(), hv_DecodedDataStrings = new HTuple();
            HTuple hv_Seconds1 = new HTuple(), hv_time = new HTuple();
            HTuple hv_Length = new HTuple();
            // Initialize local and output iconic variables
            HOperatorSet.GenEmptyObj(out ho_SymbolXLDs);
            HOperatorSet.GenEmptyObj(out ho_ObjectsConcat);
            try
            {

                //创建模型
                hv_DataCodeHandle.Dispose();
                //QR Code
                HOperatorSet.CreateDataCode2dModel("QR Code", new HTuple(), new HTuple(), out hv_DataCodeHandle);
                //HOperatorSet.CreateDataCode2dModel("QR Code", new HTuple(), new HTuple(), out hv_DataCodeHandle);

                //设置条码极性
                HOperatorSet.SetDataCode2dParam(hv_DataCodeHandle, "polarity", "any");

                //解码时长的设置，超时直接将条码丢弃
                HOperatorSet.SetDataCode2dParam(hv_DataCodeHandle, "timeout", 300);

                //**********开始二维码识别****************

                //开始计时
                hv_Seconds.Dispose();
                HOperatorSet.CountSeconds(out hv_Seconds);

                //解析二维码
                ho_SymbolXLDs.Dispose(); hv_ResultHandles.Dispose(); hv_DecodedDataStrings.Dispose();
                HOperatorSet.FindDataCode2d(ho_InputImage, out ho_SymbolXLDs, hv_DataCodeHandle,
                    new HTuple(), new HTuple(), out hv_ResultHandles, out hv_DecodedDataStrings);

                //结束计时
                hv_Seconds1.Dispose();
                HOperatorSet.CountSeconds(out hv_Seconds1);

                //累计耗时
                hv_time.Dispose();
                using (HDevDisposeHelper dh = new HDevDisposeHelper())
                {
                    hv_time = hv_Seconds1 - hv_Seconds;
                }
                //MessageBox.Show(hv_time);
                //判断解码结果是否有结果
                hv_Length.Dispose();
                HOperatorSet.TupleLength(hv_DecodedDataStrings, out hv_Length);
                if ((int)(new HTuple(hv_Length.TupleGreater(0))) != 0)
                {
                    result = hv_DecodedDataStrings;
                }
            }
            catch (Exception ex)
            {
                return result;
            }
            finally
            {
                ho_InputImage.Dispose();
                ho_SymbolXLDs.Dispose();
                ho_ObjectsConcat.Dispose();

                hv_DataCodeHandle.Dispose();
                hv_Seconds.Dispose();
                hv_ResultHandles.Dispose();
                hv_DecodedDataStrings.Dispose();
                hv_Seconds1.Dispose();
                hv_time.Dispose();
                hv_Length.Dispose();
            }
            return result;
        }

此处还涉及Mat对象转换为HObject

/// <summary>
        ///  Mat转换为HObject
        /// </summary>
        /// <param name="mat"></param>
        /// <returns></returns>
        public HImage Mat2HObject(Mat mat)
        {
            HImage hImage = new HImage();
            try
            {
                if (mat.Type() == MatType.CV_8UC1)
                {
                    hImage.GenImage1("byte", mat.Width, mat.Height, mat.Data);
                }
                else
                {
                    hImage.GenImageInterleaved(mat.Data, "rgb", mat.Width, mat.Height, 0, "byte", mat.Width, mat.Height, 0, 0, -1, 0);
                }
            }
            catch (Exception)
            {


            }
            finally
            {
                mat.Dispose();
            }
            return hImage;
        }

原文地址：https://blog.csdn.net/arvinzd/article/details/142583751

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