public MainWindow(RsImage p)
{
InitializeComponent();
this._image = p;
this.textOpenLoc.Text = p.GetFilePath();
SetRadioVisibility(p.Interleave);
}
/// <summary>
/// 梯度倒数加权-3*3
/// </summary>
public Grad(RsImage r)
{
this._img = r;
this._oriData = r.GetPicData();
GradData = new byte[r.BandsCount, r.Lines, r.Samples];
ScanHoleImg();
}
/// <summary>
/// 均值滤波
/// </summary>
/// <param name="r"></param>
public Lap(RsImage r)
{
this._img = r;
this.Lapla = new byte[r.BandsCount, r.Lines, r.Samples];
CalcMean();
FillData();
}
/// <summary>
/// 梯度倒数加权-3*3
/// </summary>
public Grad(RsImage r)
{
this._img = r;
this._oriData = r.GetPicData();
GradData = new byte[r.BandsCount, r.Lines, r.Samples];
ScanHoleImg();
}
/// <summary>
/// 均值滤波
/// </summary>
/// <param name="r"></param>
public Mean(RsImage r)
{
this._img = r;
this.MeanFilter = new byte[r.BandsCount, r.Lines, r.Samples];
CalcMean();
FillData();
}
public CalcOIF(RsImage img)
{
_imgBands = img.BandsCount;
_stats = new ImageStats(img);
ResultOIF = new List <string[]>();
CalcOif();
}
public CalcOIF(RsImage img)
{
_imgBands = img.BandsCount;
_stats = new ImageStats(img);
ResultOIF=new List<string[]>();
CalcOif();
}
/// <summary>
/// 均值滤波
/// </summary>
/// <param name="r"></param>
public Mean(RsImage r)
{
this._img = r;
this.MeanFilter = new byte[r.BandsCount, r.Lines, r.Samples];
CalcMean();
FillData();
}
/// <summary>
/// 均值滤波
/// </summary>
/// <param name="r"></param>
public Lap(RsImage r)
{
this._img = r;
this.Lapla = new byte[r.BandsCount, r.Lines, r.Samples];
CalcMean();
FillData();
}
/// <summary>
/// 显示图像-RGB
/// </summary>
/// <param name="ig">图像</param>
public KT(RsImage ig)
{
InitializeComponent();
InitMousePan();
InitCombo1();
this._img = ig.GetPicData();
}
public ImageStats(RsImage p)
{
_bands = p.BandsCount;
_lines = p.Lines;
_samples = p.Samples;
_picData = p.GetPicData();
CalcStats();
}
public ImageStats(RsImage p)
{
_bands = p.BandsCount;
_lines = p.Lines;
_samples = p.Samples;
_picData = p.GetPicData();
CalcStats();
}
/// <summary>
/// 显示图像-RGB
/// </summary>
/// <param name="ig">图像</param>
public HSI(RsImage ig)
{
InitializeComponent();
InitMousePan();
InitComboBox(ig.BandsCount);
this._img = ig.GetPicData();
}
/// <summary>
/// 中值滤波
/// </summary>
/// <param name="r">图像</param>
/// <param name="x">行大小</param>
/// <param name="y">列大小</param>
public Median(RsImage r, int x, int y)
{
this._img = r.GetPicData();
this._sizeX = x;
this._sizeY = y;
this.MedianData = new byte[r.BandsCount, r.Lines, r.Samples];
CheckSize(x, y);
CalcMedian();
}
/// <summary>
/// Sobel
/// </summary>
/// <param name="r"></param>
public Sobel(RsImage r)
{
this._img = r;
this.SobelData = new byte[r.BandsCount, r.Lines, r.Samples];
CalcX();
CalcY();
FillData();
}
/// <summary>
/// 中值滤波
/// </summary>
/// <param name="r">图像</param>
/// <param name="x">行大小</param>
/// <param name="y">列大小</param>
public Median(RsImage r, int x, int y)
{
this._img = r.GetPicData();
this._sizeX = x;
this._sizeY = y;
this.MedianData = new byte[r.BandsCount, r.Lines, r.Samples];
CheckSize(x, y);
CalcMedian();
}
/// <summary>
/// Sobel
/// </summary>
/// <param name="r"></param>
public Sobel(RsImage r)
{
this._img = r;
this.SobelData = new byte[r.BandsCount, r.Lines, r.Samples];
CalcX();
CalcY();
FillData();
}
public Robert(RsImage img)
{
this._img = img;
this._oriData = img.GetPicData();
this.RobertData = new byte[img.BandsCount, img.Lines, img.Samples];
this._robA = new double[img.BandsCount, img.Lines, img.Samples];
this._robB = new double[img.BandsCount, img.Lines, img.Samples];
ConvForEven();
FillData();
}
public Robert(RsImage img)
{
this._img = img;
this._oriData = img.GetPicData();
this.RobertData = new byte[img.BandsCount, img.Lines, img.Samples];
this._robA = new double[img.BandsCount, img.Lines, img.Samples];
this._robB = new double[img.BandsCount, img.Lines, img.Samples];
ConvForEven();
FillData();
}
public Histogram(RsImage p,byte type)
{
InitializeComponent();
_image = p;
_type = type;
var bandName = new string[p.BandsCount];
for (int i = 0; i < p.BandsCount; i++)
{
bandName[i] = "Band " + (i + 1);
}
bandList.DataSource = bandName;
}
/// <summary>
/// 极差纹理
/// </summary>
/// <param name="ig">图像</param>
public RangeFilt(RsImage ig)
{
InitializeComponent();
this._img = ig.GetPicData();
this._final = new byte[_img.GetLength(0)][,];
for (int i = 0; i < this._img.GetLength(0); i++)
{
_final[i] = new RS_Lib.RangeFilt(_img, i).JCWL;
}
InitMousePan();
InitCombo1();
LayerChoice.SelectedIndex = 0;
}
/// <summary>
/// 高斯低通
/// </summary>
/// <param name="r">图像</param>
/// <param name="x">卷积行</param>
/// <param name="y">卷积列</param>
/// <param name="o">方差</param>
public GaussLow(RsImage r, int x, int y, int o)
{
this._img = r;
CheckSize(x, y, o);
this._o = o;
this._x = x;
this._y = y;
MakeKernel();
GaussLowData = new byte[r.BandsCount, r.Lines, r.Samples];
Calc();
FillData();
}
/// <summary>
/// 高斯低通
/// </summary>
/// <param name="r">图像</param>
/// <param name="x">卷积行</param>
/// <param name="y">卷积列</param>
/// <param name="o">方差</param>
public GaussLow(RsImage r, int x,int y,int o)
{
this._img = r;
CheckSize(x, y, o);
this._o = o;
this._x = x;
this._y = y;
MakeKernel();
GaussLowData = new byte[r.BandsCount, r.Lines, r.Samples];
Calc();
FillData();
}
private void OpenFiles()
{
_numOfFiles = _fileNames.GetLength(0);
_mergeImages = new RsImage[_numOfFiles];
for (int i = 0; i < _numOfFiles; i++)
{
_mergeImages[i] = new RsImage(_fileNames[i]);
if (_mergeImages[i].Lines != _mergeImages[0].Lines |
_mergeImages[i].Samples != _mergeImages[0].Samples |
_mergeImages[i].Interleave != "bsq")
{
_mergeImages = null;
return;
}
if (_mergeImages[i].GetPicData() == null)
{
_mergeImages = null;
return;
}
}
}
/// <summary>
/// 构造图像转换器函数
/// </summary>
/// <param name="d">图像数据</param>
/// <param name="t">转换格式(1-bsq,2-bip,3-bil</param>
public PicConvert(RsImage d, int t)
{
this._data = d.GetPicData();
this._convType = t;
this.Convert();
}
/// <summary>
/// 构造图像转换器函数
/// </summary>
/// <param name="d">图像数据</param>
/// <param name="t">转换格式(1-bsq,2-bip,3-bil</param>
public PicConvert(RsImage d, int t)
{
this._data = d.GetPicData();
this._convType = t;
this.Convert();
}
private void HistoMatch(RsImage a, RsImage b)
{
var w = new RS_Diag.HistoMatch(a, b);
if (w.ShowDialog() != System.Windows.Forms.DialogResult.OK) return;
var data = w.MatchedData;
byte[,,] res = new byte[1, data.GetLength(0), data.GetLength(1)];
for (int i = 0; i < data.GetLength(0); i++)
{
for (int j = 0; j < data.GetLength(1); j++)
{
res[0, i, j] = data[i, j];
}
}
AddNewPic(res, a.FileName + "-直方图规定化结果", false);
}
/// <summary>
/// 直方图规定化
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void ButtonUniHistogram_Click(object sender, RoutedEventArgs e)
{
if (!CheckImage()) return;
var cho = _image[_fChoose.ChoosedFile];
OpenFileDialog ofd = new OpenFileDialog
{
Title = "选择目标直方图",
Filter = "ENVI遥感数据头文件(*.HDR)|*.HDR;*.hdr"
};
if (ofd.ShowDialog() != true) return;
try
{
RS_Lib.RsImage img = new RsImage(ofd.FileName);
HistoMatch(cho, img);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "TonyZ", MessageBoxButton.OK, MessageBoxImage.Error);
return;
}
}
private void OpenFiles()
{
_numOfFiles = _fileNames.GetLength(0);
_mergeImages = new RsImage[_numOfFiles];
for (int i = 0; i < _numOfFiles; i++)
{
_mergeImages[i] = new RsImage(_fileNames[i]);
if (_mergeImages[i].Lines != _mergeImages[0].Lines |
_mergeImages[i].Samples != _mergeImages[0].Samples |
_mergeImages[i].Interleave != "bsq")
{
_mergeImages = null;
return;
}
if (_mergeImages[i].GetPicData() == null)
{
_mergeImages = null;
return;
}
}
}
