C# 版本real类型TIF与16位PNG相互转换算法

企业开发 2023-05-17 05:16:53 阅读次数: 0

该版本在halcon基础上做了一些细微改动，主要是将最小值和delta值之前由一位表示改为由两位进行表示。不再用担心高度值的越界问题，同时将放缩系数放大10000倍，进一步保证了精度。

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using HalconDotNet;

namespace Halcon_Test
{
    public static class HalconTest
    {
        /// <summary>
        /// 将tif转为png
        /// </summary>
        /// <param name="h0_image"></param>
        /// <param name="writepath"></param>
        public static void Tif2PNG(HObject ho_image,string writepath)
        {
            ///标志位数据
            HTuple hv_flagRows = null, hv_flagColumns = null, hv_flagValue = null;
            ///编码数据
            HTuple hv_codeRows = null, hv_codeColumns = null, hv_codeValue = null;
            HTuple hv_Z_MINisMINUS = null, hv_Z_MIN1 = null, hv_Z_MIN2 = null, hv_Z_Delta1 = null, hv_Z_Delta2 = null, hv_Z_SCALE = null, hv_X_OFFSET = null, hv_X_SCALE = null, hv_Y_OFFSET = null, hv_Y_SCALE = null;
            /// 中间变量
            HTuple hv_Width = null, hv_Height = null, hv_Z_MIN = null, hv_Z_MAX = null, hv_Z_Delta, hv_SCALE=null, hv_Rows=null, hv_Columns=null, hv_Grayval=null;
            ///图像中间变量
            HObject ho_Region, ho_ImageCleared, ho_ImageSub, ho_Image2, ho_OutImage, ho_Rectangle;
            HOperatorSet.GenEmptyObj(out ho_Region);
            HOperatorSet.GenEmptyObj(out ho_ImageCleared);
            HOperatorSet.GenEmptyObj(out ho_ImageSub);
            HOperatorSet.GenEmptyObj(out ho_Image2);
            HOperatorSet.GenEmptyObj(out ho_OutImage);
            HOperatorSet.GenEmptyObj(out ho_Rectangle);
            ///开始转换
            /// //图片的编码信息
            //检查最小值Z_MIN是否为负数
            hv_Z_MINisMINUS = 0;
            //用两个位置来保存Z_MIN和Z_Delta
            //Z_MIN=Z_MIN1+Z_MIN2/10000
            //Z_Delta=Z_Delta1+Z_Delta2/10000
            hv_Z_Delta1 = new HTuple();
            hv_Z_MIN1 = new HTuple();
            hv_Z_Delta2 = new HTuple();
            hv_Z_MIN2 = new HTuple();
            hv_Z_SCALE = 10000;
            hv_X_OFFSET = 0;
            hv_X_SCALE = 1;
            hv_Y_OFFSET = 0;
            hv_Y_SCALE = 1;
            HOperatorSet.GetImageSize(ho_image, out hv_Width, out hv_Height);
            //*************************************************
            //判断的三个标志位；标志位分别为于最后一行28、29、30处
            hv_flagRows = new HTuple();
            hv_flagRows = hv_flagRows.TupleConcat(hv_Height);
            hv_flagRows = hv_flagRows.TupleConcat(hv_Height);
            hv_flagRows = hv_flagRows.TupleConcat(hv_Height);
            hv_flagColumns = new HTuple();
            hv_flagColumns[0] = 88;
            hv_flagColumns[1] = 89;
            hv_flagColumns[2] = 90;
            hv_flagValue = new HTuple();
            hv_flagValue[0] = 88;
            hv_flagValue[1] = 28888;
            hv_flagValue[2] = 58888;
            //**********************
            //获取图像里面的最高和最低点
            ho_Region.Dispose();
            HOperatorSet.Threshold(ho_image, out ho_Region, -200, 200);
            HOperatorSet.MinMaxGray(ho_Region, ho_image, 0, out hv_Z_MIN, out hv_Z_MAX, out hv_Z_Delta);
            //**********
            //Z向放缩系数
            hv_SCALE = 65535 / hv_Z_Delta;
            //****************
            hv_Z_Delta1 = hv_Z_Delta.TupleInt();
            hv_Z_Delta2 = (hv_Z_Delta - hv_Z_Delta1) * hv_Z_SCALE;
            hv_Z_MIN1 = hv_Z_MIN.TupleInt();
            hv_Z_MIN2 = (hv_Z_MIN - hv_Z_MIN1) * hv_Z_SCALE;
            //将图像转为16位图像
            ho_ImageCleared.Dispose();
            HOperatorSet.GenImageProto(ho_image, out ho_ImageCleared, hv_Z_MIN);
            ho_ImageSub.Dispose();
            HOperatorSet.SubImage(ho_image, ho_ImageCleared, out ho_ImageSub, hv_SCALE,
                0);
            ho_Image2.Dispose();
            HOperatorSet.ConvertImageType(ho_ImageSub, out ho_Image2, "uint2");
            //*************
            //将两张图象融合,转换后的图像区域裁剪到新生成图像0-1599行，1600行存编码数据
            ho_OutImage.Dispose();
            HOperatorSet.GenImageConst(out ho_OutImage, "uint2", hv_Width, hv_Height + 1);
            ho_Rectangle.Dispose();
            HOperatorSet.GenRectangle1(out ho_Rectangle, 0, 0, hv_Height - 1, hv_Width - 1);
            HOperatorSet.GetRegionPoints(ho_Rectangle, out hv_Rows, out hv_Columns);
            HOperatorSet.GetGrayvalInterpolated(ho_Image2, hv_Rows, hv_Columns, "bilinear",
                out hv_Grayval);
            HOperatorSet.SetGrayval(ho_OutImage, hv_Rows, hv_Columns, hv_Grayval);
            //***********
            //存储编码信息
            //判断最小值是否为负数
            if ((int)(new HTuple(hv_Z_MIN.TupleLess(0))) != 0)
            {
                hv_Z_MINisMINUS = 1;
            }
            else
            {
                hv_Z_MINisMINUS = 0;
            }
            hv_codeRows = new HTuple();
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height);
            hv_codeColumns = new HTuple();
            hv_codeColumns[0] = 5;
            hv_codeColumns[1] = 9;
            hv_codeColumns[2] = 13;
            hv_codeColumns[3] = 17;
            hv_codeColumns[4] = 21;
            hv_codeColumns[5] = 25;
            hv_codeColumns[6] = 29;
            hv_codeColumns[7] = 33;
            hv_codeColumns[8] = 37;
            hv_codeColumns[9] = 41;
            hv_codeValue = new HTuple();
            hv_codeValue = hv_codeValue.TupleConcat(hv_Z_MINisMINUS);
            hv_codeValue = hv_codeValue.TupleConcat(hv_Z_MIN1);
            hv_codeValue = hv_codeValue.TupleConcat(hv_Z_MIN2);
            hv_codeValue = hv_codeValue.TupleConcat(hv_Z_Delta1);
            hv_codeValue = hv_codeValue.TupleConcat(hv_Z_Delta2);
            hv_codeValue = hv_codeValue.TupleConcat(hv_Z_SCALE);
            hv_codeValue = hv_codeValue.TupleConcat(hv_X_OFFSET);
            hv_codeValue = hv_codeValue.TupleConcat(hv_X_SCALE);
            hv_codeValue = hv_codeValue.TupleConcat(hv_Y_OFFSET);
            hv_codeValue = hv_codeValue.TupleConcat(hv_Y_SCALE);
            HOperatorSet.SetGrayval(ho_OutImage, hv_codeRows, hv_codeColumns, hv_codeValue);
            //*****************
            //三个标志位存储信息
            HOperatorSet.SetGrayval(ho_OutImage, hv_flagRows, hv_flagColumns, hv_flagValue);
            HOperatorSet.WriteImage(ho_OutImage, "png", 0, writepath);
            ///中间变量释放
            ho_Region.Dispose();
            ho_ImageCleared.Dispose();
            ho_ImageSub.Dispose();
            ho_Image2.Dispose();
            ho_OutImage.Dispose();
            ho_Rectangle.Dispose();
        }
        /// <summary>
        /// PNG转tif格式
        /// </summary>
        /// <param name="ho_image"></param>
        /// <param name="writepath"></param>
        public static void PNG2Tif(HObject ho_image, string writepath)
        {
            HObject ho_ImagePart, ho_Rectangle, ho_OutImage;

            HOperatorSet.GenEmptyObj(out ho_ImagePart);
            HOperatorSet.GenEmptyObj(out ho_Rectangle);
            HOperatorSet.GenEmptyObj(out ho_OutImage);

            ///标志位数据
            HTuple hv_flagRows = null, hv_flagColumns = null, hv_Grayval3 = null, hv_flagValue = null;
            ///中间变量
            HTuple hv_Width = null, hv_Height = null, hv_Z_MINres = null, hv_Z_DELTAres = null, hv_Rows = null, hv_Columns = null, hv_Grayval = null, hv_zoomFactor=null, hv_Grayval1=null;
            HOperatorSet.GetImageSize(ho_image, out hv_Width, out hv_Height);
            //*************************************************
            //判断的三个标志位；标志位分别为于最后一行28、29、30处
            hv_flagRows = new HTuple();
            hv_flagRows = hv_flagRows.TupleConcat(hv_Height-1);
            hv_flagRows = hv_flagRows.TupleConcat(hv_Height-1);
            hv_flagRows = hv_flagRows.TupleConcat(hv_Height-1);
            hv_flagColumns = new HTuple();
            hv_flagColumns[0] = 88;
            hv_flagColumns[1] = 89;
            hv_flagColumns[2] = 90;
            hv_flagValue = new HTuple();
            hv_flagValue[0] = 88;
            hv_flagValue[1] = 28888;
            hv_flagValue[2] = 58888;
            ///编码数据
            HTuple hv_Z_MINisMINUS1 = null, hv_Z_MIN1 = null, hv_Z_MIN2 = null, hv_Z_Delta1 = null, hv_Z_Delta2 = null, hv_Z_SCALE = null, hv_X_OFFSET = null, hv_X_SCALE = null, hv_Y_OFFSET = null, hv_Y_SCALE = null;
            HTuple hv_codeRows = null, hv_codeColumns = null, hv_codeGrayval=null;
            hv_codeRows = new HTuple();
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height - 1);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height - 1);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height - 1);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height - 1);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height - 1);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height - 1);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height - 1);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height - 1);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height - 1);
            hv_codeRows = hv_codeRows.TupleConcat(hv_Height - 1);
            hv_codeColumns = new HTuple();
            hv_codeColumns[0] = 5;
            hv_codeColumns[1] = 9;
            hv_codeColumns[2] = 13;
            hv_codeColumns[3] = 17;
            hv_codeColumns[4] = 21;
            hv_codeColumns[5] = 25;
            hv_codeColumns[6] = 29;
            hv_codeColumns[7] = 33;
            hv_codeColumns[8] = 37;
            hv_codeColumns[9] = 41;
            hv_codeGrayval = new HTuple();
            HOperatorSet.GetGrayval(ho_image, hv_flagRows, hv_flagColumns, out hv_Grayval3);
            if ((int)(new HTuple(hv_Grayval3.TupleEqual(hv_flagValue))) != 0)
            {
                //***********
                //读取编码信息
                HOperatorSet.GetGrayval(ho_image, hv_codeRows, hv_codeColumns, out hv_codeGrayval);
                //*******
                //分项读取
                //Z_MINisMINUS,Z_MIN1,Z_MIN2,Z_Delta1,Z_Delta2,Z_SCALE,X_OFFSET,X_SCALE,Y_OFFSET,Y_SCALE
                hv_Z_MINisMINUS1 = hv_codeGrayval[0];
                hv_Z_MIN1 = hv_codeGrayval[1];
                hv_Z_MIN2 = hv_codeGrayval[2];
                hv_Z_Delta1 = hv_codeGrayval[3];
                hv_Z_Delta2 = hv_codeGrayval[4];
                hv_Z_SCALE = hv_codeGrayval[5];
                hv_X_OFFSET = hv_codeGrayval[6];
                hv_X_SCALE = hv_codeGrayval[7];
                hv_Y_OFFSET = hv_codeGrayval[8];
                hv_Y_SCALE = hv_codeGrayval[9];
                //得到Z_MIN和Z_DELTA的值
                if ((int)(new HTuple(hv_Z_MINisMINUS1.TupleEqual(0))) != 0)
                {
                    hv_Z_MINres = hv_Z_MIN1 + (hv_Z_MIN2 / (hv_Z_SCALE.TupleReal()));
                }
                else
                {
                    hv_Z_MINres = -(hv_Z_MIN1 + (hv_Z_MIN2 / (hv_Z_SCALE.TupleReal())));
                }
                hv_Z_DELTAres = hv_Z_Delta1 + (hv_Z_Delta2 / (hv_Z_SCALE.TupleReal()));
            }
            else
            {
                ho_image.Dispose();
                return;
            }
            //*****************************
            //将图片最后一行存有编码信息的裁掉
            ho_ImagePart.Dispose();
            HOperatorSet.CropPart(ho_image, out ho_ImagePart, 0, 0, hv_Width, hv_Height);
            ho_Rectangle.Dispose();
            HOperatorSet.GenRectangle1(out ho_Rectangle, 0, 0, hv_Height - 1, hv_Width - 1);
            HOperatorSet.GetRegionPoints(ho_Rectangle, out hv_Rows, out hv_Columns);
            HOperatorSet.GetGrayval(ho_ImagePart, hv_Rows, hv_Columns, out hv_Grayval);
            hv_zoomFactor = 65535 / hv_Z_DELTAres;
            hv_Grayval1 = (hv_Grayval / hv_zoomFactor) + hv_Z_MINres;
            ho_OutImage.Dispose();
            HOperatorSet.GenImageConst(out ho_OutImage, "real", hv_Width, hv_Height);
            HOperatorSet.SetGrayval(ho_OutImage, hv_Rows, hv_Columns, hv_Grayval1);
            HOperatorSet.WriteImage(ho_OutImage, "tiff", 0, writepath);
            ho_ImagePart.Dispose();
            ho_Rectangle.Dispose();
            ho_OutImage.Dispose();
        }
    }
}

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