using OTSDataType;
using OTSModelSharp.ImageProcess;
using System;
using System.Collections.Generic;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using static OTSDataType.otsdataconst;
namespace OTSModelSharp.ServiceInterface
{
using OTSCLRINTERFACE;
using OTSIMGPROC;
using System.Drawing.Imaging;
using System.Windows;
public class CImageHandler:IImageProcess
{
#region 通过byte数组生成BMP图像文件
///
/// 将一个byte的数组转换为8bit灰度位图
///
/// 数组
/// 图像宽度
/// 图像高度
/// 位图
public static Bitmap ToGrayBitmap(byte[] data, int width, int height)
{
if (width == 0 || height == 0)
return null;
//// 申请目标位图的变量,并将其内存区域锁定
Bitmap bmp = new Bitmap(width, height, PixelFormat.Format8bppIndexed);
//// BitmapData这部分内容 需要 using System.Drawing.Imaging;
BitmapData bmpData = bmp.LockBits(new Rectangle(0, 0, width, height),
ImageLockMode.WriteOnly, PixelFormat.Format8bppIndexed);
//// 获取图像参数
// 扫描线的宽度
int stride = bmpData.Stride;
// 显示宽度与扫描线宽度的间隙
int offset = stride - width;
// 获取bmpData的内存起始位置
IntPtr iptr = bmpData.Scan0;
// 用stride宽度,表示这是内存区域的大小
int scanBytes = stride * height;
//// 下面把原始的显示大小字节数组转换为内存中实际存放的字节数组
int posScan = 0;
int posReal = 0;// 分别设置两个位置指针,指向源数组和目标数组
byte[] pixelValues = new byte[scanBytes]; //为目标数组分配内存
//for (int x = height-1;x>=0 ; x--) data[startIndex+ y];//
for (int x = 0; x < height; x++)
{
int startIndex = x * width;
//// 下面的循环节是模拟行扫描
for (int y = 0; y < width; y++)
{
pixelValues[posScan++] = data[posReal++];
}
posScan += offset; //行扫描结束,要将目标位置指针移过那段“间隙”
}
//// 用Marshal的Copy方法,将刚才得到的内存字节数组复制到BitmapData中
System.Runtime.InteropServices.Marshal.Copy(pixelValues, 0, iptr, scanBytes);
bmp.UnlockBits(bmpData); // 解锁内存区域
//// 下面的代码是为了修改生成位图的索引表,从伪彩修改为灰度
ColorPalette tempPalette;
using (Bitmap tempBmp = new Bitmap(1, 1, PixelFormat.Format8bppIndexed))
{
tempPalette = tempBmp.Palette;
}
for (int i = 0; i < 256; i++)
{
tempPalette.Entries[i] = Color.FromArgb(i, i, i);
}
bmp.Palette = tempPalette;
return bmp;
}
#endregion
//获取测量的BSE图
//COTSSample WSample: 工作样品测量
//Byte[] BSEImage: 带背景图数据
//int iHeight: 图像高度
//int iWidth: 图像宽度
//Byte[]BSEImageNoBG : 去背景图数据
public bool GetBSEImage(COTSImageProcParam ImgProcPrm, double pixelSize, byte[] BSEImage, int iHeight, int iWidth, ref byte[] BSEImageNoBG)
{
Rectangle rect = new Rectangle();
rect.Height = iHeight;
rect.Width = iWidth;
CBSEImgClr pBSEImageIn = new CBSEImgClr(rect);
CBSEImgClr pBSEImageOut = new CBSEImgClr(rect);
//pBSEImageIn.SetImageRect(rect);
pBSEImageIn.SetImageData(BSEImage,iWidth, iHeight );
//pBSEImageOut.SetImageRect(rect);
if (null == ImgProcPrm)
{
return false;
}
RemoveBackGround(pBSEImageIn, ImgProcPrm, pixelSize ,ref pBSEImageOut);
BSEImageNoBG = pBSEImageOut.GetImageDataPtr();
return true;
}
///
/// 获取测量的BSE图
///
/// BSE原数据
/// 图像高度
/// 图像宽度
///
///
/// 去背景图数据
///
public bool GetBSEImage(byte[] BSEImage, int iHeight, int iWidth, int grayStart, int grayEnd, ref byte[] BSEImageNoBG)
{
Rectangle rect = new Rectangle();
rect.Height = iHeight;
rect.Width = iWidth;
CBSEImgClr pBSEImageIn = new CBSEImgClr(rect);
CBSEImgClr pBSEImageOut = new CBSEImgClr(rect);
//pBSEImageIn.SetImageRect(rect);
pBSEImageIn.SetImageData(BSEImage, iWidth, iHeight );
CIntRangeClr cIntRangeClr = new CIntRangeClr();
cIntRangeClr.SetStart(grayStart);
cIntRangeClr.SetEnd(grayEnd);
OTSCLRINTERFACE.ImageProForClr imgpro = new OTSCLRINTERFACE.ImageProForClr();
int num=0;
imgpro.GetSpecialGrayRangeImage(pBSEImageIn, cIntRangeClr, pBSEImageOut,ref num);
for (int i = 0; i < iWidth; i++)
{
for (int j = 0; j < iHeight; j++)
{
var bse = pBSEImageOut.GetBSEValue(i, j);
if (bse == 255)
{
var originalBse = pBSEImageIn.GetBSEValue(i, j);
pBSEImageOut.SetBSEValue(i, j, originalBse);
}
else
{
pBSEImageOut.SetBSEValue(i, j, 255);
}
}
}
BSEImageNoBG = pBSEImageOut.GetImageDataPtr();
return true;
}
// remove background
public void RemoveBackGround(CBSEImgClr a_pImgIn, COTSImageProcParam a_pImgProcessParam, double a_pixelSize, ref CBSEImgClr a_pImgOut)
{
List parts = new List();
List specialGreyparts = new List();
if (!RemoveBGAndGetParts(a_pImgIn, a_pImgProcessParam, a_pixelSize, ref parts))
{
return;
}
if (a_pImgProcessParam.GetSpecialGreyRangeParam().GetIsToRun())
{
var param = a_pImgProcessParam.GetSpecialGreyRangeParam();
var ranges = param.GetSpecialGreyRanges();
foreach (var r in ranges)
{
CIntRangeClr r1 = new CIntRangeClr();
r1.SetStart(r.range.GetStart());
r1.SetEnd(r.range.GetEnd());
CDoubleRangeClr r2 = new CDoubleRangeClr();
r2.SetStart(r.diameterRange.GetStart());
r2.SetEnd(r.diameterRange.GetEnd());
GetParticlesBySpecialGray(a_pImgIn, r1, r2, a_pixelSize, ref specialGreyparts);
}
}
for (int i = 0; i < a_pImgOut.GetWidth(); i++)
{
for (int j = 0; j < a_pImgOut.GetHeight(); j++)
{
a_pImgOut.SetBSEValue(i, j, 255);
}
}
if (specialGreyparts.Count > 0)
{
foreach (var p in specialGreyparts)
{
foreach (var s in p.GetFeature().GetSegmentsList())
{
for (int i = s.GetStart(); i < s.GetStart() + s.GetLength(); i++)
{
var bseValue = a_pImgIn.GetBSEValue(i, s.GetHeight());
a_pImgOut.SetBSEValue(i, s.GetHeight(), bseValue);
}
}
}
}
foreach (var p in parts)
{
foreach (var s in p.GetFeature().GetSegmentsList())
{
for (int i = s.GetStart(); i < s.GetStart() + s.GetLength(); i++)
{
var bseValue = a_pImgIn.GetBSEValue(i, s.GetHeight());
a_pImgOut.SetBSEValue(i, s.GetHeight(), bseValue);
}
}
}
return;
}
public void BDilate3(string source, string target, int wDegree, int rows, int columns)
{
throw new NotImplementedException();
}
public void BErode3(string source, string target, int wDegree, int rows, int columns)
{
throw new NotImplementedException();
}
public bool CalParticleImageProp( COTSParticleClr part, double a_pixelSize)
{
OTSCLRINTERFACE.ImageProForClr imgpro = new OTSCLRINTERFACE.ImageProForClr();
imgpro.CalcuParticleImagePropertes(part,a_pixelSize);
return true;
}
public bool RemoveBGAndGetParts(CBSEImgClr img, COTSImageProcParam a_pImgProcessParam,double a_pixelSize,ref List parts)
{
OTSCLRINTERFACE.ImageProForClr imgpro = new OTSCLRINTERFACE.ImageProForClr();
OTSCLRINTERFACE.COTSImgProcPrmClr prm = GetImageProcPrmClr(a_pImgProcessParam);
OTSCLRINTERFACE.COTSFieldDataClr flddataclr = new OTSCLRINTERFACE.COTSFieldDataClr();
if (!imgpro.GetFieldDataFromImage(img, prm, a_pixelSize, flddataclr))
{
return false;
}
parts = flddataclr.GetParticleList();
return true;
}
public bool GetParticlesBySpecialGray(CBSEImgClr img, CIntRangeClr grayrange, CDoubleRangeClr diameterRange,double a_pixelSize, ref List parts)
{
OTSCLRINTERFACE.ImageProForClr imgpro = new OTSCLRINTERFACE.ImageProForClr();
//OTSCLRINTERFACE.COTSImgProcPrmClr prm = GetImageProcPrmClr(a_pImgProcessParam);
OTSCLRINTERFACE.COTSFieldDataClr flddataclr = new OTSCLRINTERFACE.COTSFieldDataClr();
imgpro.GetParticlesBySpecialPartGrayRange(img, grayrange,diameterRange,a_pixelSize, flddataclr);
parts = flddataclr.GetParticleList();
return true;
}
private COTSImgProcPrmClr GetImageProcPrmClr(COTSImageProcParam a_oSource)
{
COTSImgProcPrmClr prmclr = new COTSImgProcPrmClr();
OTSCLRINTERFACE.CDoubleRangeClr r1 = new OTSCLRINTERFACE.CDoubleRangeClr(a_oSource.GetIncAreaRange().GetStart(), a_oSource.GetIncAreaRange().GetEnd());
prmclr.SetIncArea(r1);
OTSCLRINTERFACE.CIntRangeClr r2= new OTSCLRINTERFACE.CIntRangeClr(a_oSource.GetBGGray().GetStart(), a_oSource.GetBGGray().GetEnd());
prmclr.SetBGGray(r2);
OTSCLRINTERFACE.CIntRangeClr r3= new OTSCLRINTERFACE.CIntRangeClr(a_oSource.GetParticleGray().GetStart(), a_oSource.GetParticleGray().GetEnd());
prmclr.SetParticleGray(r3);
prmclr.SetBGRemoveType((int)a_oSource.GetBGRemoveType());
prmclr.SetAutoBGRemoveType((int)a_oSource.GetAutoBGRemoveType());
prmclr.SetErrodDilateParam(a_oSource.GetErrodDilateParam());
return prmclr;
}
public bool MergeBigBoundaryParticles(List allFields, double pixelSize, int scanFieldSize, Size ResolutionSize, ref List mergedParts)
{
List fldclrs = new List();
foreach (var f in allFields)
{
COTSFieldDataClr fldclr = new COTSFieldDataClr();
PointF p1 = f.GetOTSPosition();
Point p2 = new Point((int)p1.X, (int)p1.Y);
fldclr.SetPosition(p2);
fldclr.SetImageWidth(f.Width);
fldclr.SetImageHeight(f.Height);
var parts = f.GetListAnalysisParticles();
foreach (var p in parts)
{
fldclr.AddParticle(p);
}
fldclrs.Add(fldclr);
}
OTSCLRINTERFACE.ImageProForClr imgpro = new OTSCLRINTERFACE.ImageProForClr();
imgpro.MergeBigBoundaryParticles(fldclrs, pixelSize, scanFieldSize, ResolutionSize, mergedParts);
return true;
}
}
}