public static MWNumericArray Process(IList <IFilter> filters, MWNumericArray m)
{
var d = (MWNumericArray)m.Clone();
bool splitadd = false;
var tlst = new List <MWNumericArray>();
foreach (var f in filters)
{
if (f is Spliter)
{
if (splitadd)
{
tlst.Add(d);
}
splitadd = false;
d = (MWNumericArray)m.Clone();
}
else
{
splitadd = true;
}
d = f.Process(d);
}
if (splitadd)
{
tlst.Add(d);
}
//合并
if (tlst.Count > 0)
{
d = tlst[0];
for (int i = 1; i < tlst.Count; i++)
{
var it = Tools.InsertRow(d, tlst[i], d.Dimensions[0] + 1);
d.Dispose();
tlst[i].Dispose();
d = it;
}
}
return(d);
}
private void btnCompute_Click(object sender, EventArgs e)
{
if (spec1 == null || spec2 == null)
{
MessageBox.Show(string.Format("第{0}条光谱为空，请先选择。",
spec1 == null ? 1 : 2), "信息提示");
return;
}
int mwin = 0;
if (!int.TryParse(txbmwin.Text, out mwin))
{
MessageBox.Show("移动窗口大小必须为整数", "信息提示");
return;
}
IList <IFilter> filters = new List <IFilter>();
if (this._model != null)
{
if (this._model is IdentifyModel)
{
filters = ((IdentifyModel)this._model).Filters;
}
else if (this._model is FittingModel)
{
filters = ((FittingModel)this._model).Filters;
}
}
var s1 = spec1.Clone();
var s2 = spec2.Clone();
//对光谱预处理
if (filters != null)
{
var ya = new MWNumericArray(s1.Data.Lenght, 1, s1.Data.Y);
var yb = new MWNumericArray(s2.Data.Lenght, 1, s2.Data.Y);
bool splitadd = false;
var y1 = (MWNumericArray)ya.Clone();
var y2 = (MWNumericArray)yb.Clone();
var x1 = Serialize.DeepClone <double[]>(s1.Data.X);
var x2 = Serialize.DeepClone <double[]>(s2.Data.X);
var y1lst = new List <MWNumericArray>();
var x1lst = new List <double[]>();
var y2lst = new List <MWNumericArray>();
var x2lst = new List <double[]>();
foreach (var tf in filters)
{
var f = RIPP.Lib.Serialize.DeepClone <RIPP.NIR.Data.Filter.IFilter>(tf);
if (f is Spliter)
{
if (splitadd)
{
x1lst.Add(x1);
y1lst.Add(y1);
x2lst.Add(x2);
y2lst.Add(y2);
}
splitadd = false;
y1 = (MWNumericArray)ya.Clone();
y2 = (MWNumericArray)yb.Clone();
x1 = Serialize.DeepClone <double[]>(s1.Data.X);
x2 = Serialize.DeepClone <double[]>(s2.Data.X);
}
else
{
splitadd = true;
}
y1 = f.Process(y1);
y2 = f.Process(y2);
if (f.FType == FilterType.VarFilter)
{
x1 = f.VarProcess(x1);
x2 = f.VarProcess(x2);
}
}
if (splitadd)
{
x1lst.Add(x1);
y1lst.Add(y1);
x2lst.Add(x2);
y2lst.Add(y2);
}
//合并
if (x1lst.Count > 0)
{
s1.Data.X = x1lst[0];
s1.Data.Y = (double[])y1lst[0].ToVector(MWArrayComponent.Real);
s2.Data.X = x2lst[0];
s2.Data.Y = (double[])y2lst[0].ToVector(MWArrayComponent.Real);
for (int i = 1; i < x1lst.Count; i++)
{
s1.Data.X = RIPP.NIR.Data.Tools.InsertColumn(s1.Data.X, x1lst[i], s1.Data.X.Length + 1);
s1.Data.Y = RIPP.NIR.Data.Tools.InsertColumn(s1.Data.Y, (double[])y1lst[i].ToVector(MWArrayComponent.Real), s1.Data.Y.Length + 1);
s2.Data.X = RIPP.NIR.Data.Tools.InsertColumn(s2.Data.X, x2lst[i], s2.Data.X.Length + 1);
s2.Data.Y = RIPP.NIR.Data.Tools.InsertColumn(s2.Data.Y, (double[])y2lst[i].ToVector(MWArrayComponent.Real), s2.Data.Y.Length + 1);
}
}
else
{
s1.Data.X = x1;
s1.Data.Y = (double[])y1.ToVector(MWArrayComponent.Real);
s2.Data.X = x2;
s2.Data.Y = (double[])y2.ToVector(MWArrayComponent.Real);
}
//s1.Data.Y = (double[])y1.ToVector(MWArrayComponent.Real);
//s2.Data.Y = (double[])y2.ToVector(MWArrayComponent.Real);
}
if (this._model is FittingModel)
{
var f = ((FittingModel)this._model).IdRegion;
s1.Data.X = f.VarProcess(s1.Data.X);
s2.Data.X = f.VarProcess(s2.Data.X);
s1.Data.Y = f.VarProcess(s1.Data.Y);
s2.Data.Y = f.VarProcess(s2.Data.Y);
}
//绘制
var lst = new List <Spectrum>();
lst.Add(s1);
lst.Add(s2);
this.specGraph3.DrawSpec(lst);
this.specGraph3.SetTitle("预处理后光谱");
double[] tSQ;
double tTQ;
RIPP.NIR.Data.Tools.MWCorr(s1.Data.Y, s2.Data.Y, mwin, out tTQ, out tSQ);
var spec = RIPP.Lib.Serialize.DeepClone <Spectrum>(s1);
spec.Data.Y = tSQ;
spec.Name = "SQ";
spec.Color = Color.Blue;
this.specGraph2.DrawSpec(new List <Spectrum>()
{
spec
});
this.txbTQ.Text = tTQ.ToString("f3");
this.txbSQ.Text = tSQ.Min().ToString("f3");
}
