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_

这段代码展示了在Halcon库基础上对图像处理的修改,主要改进包括:将最小值和delta值从一位扩展到两位表示,解决了高度值越界问题,并将放缩系数放大10000倍以提高精度。代码实现了tif到png的转换,过程中涉及编码信息的存储和解码时的读取,确保了图像数据的准确传输。
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