/// <summary>
/// Creates a heat map model from image file. Supported formats: JPEG, PNG, TIFF etc. See: <see cref="Image.FromFile(string, bool)"/>
/// </summary>
/// <param name="imageFile">Path of the image file.</param>
/// <param name="widthOfMap">The width of map - number of horizontal fields, vertical are computed in respect to image dimensional proportion </param>
/// <param name="loger">The loger.</param>
/// <returns>Heat map model, fields have mean brightness value</returns>
public static HeatMapModel CreateFromImage(String imageFile, Int32 widthOfMap = 1000, ILogBuilder loger = null)
{
Bitmap grayImage = null;
var imgFile = imageFile.getWritableFile(Data.enums.getWritableFileMode.existing, loger);
if (!imgFile.Exists)
{
loger.log("Loading image file failed (" + imageFile + ") for heatmap model mapping");
}
else
{
try
{
Bitmap sbmp = new Bitmap(Image.FromFile(imgFile.FullName));
grayImage = sbmp;
// grayImage = Grayscale.CommonAlgorithms.Y.Apply(sbmp);
}
catch (Exception ex)
{
loger.log("Error in loading file (" + imageFile + "): " + ex.Message);
}
}
Int32 heightOfMap = Convert.ToInt32(grayImage.Size.Height.GetRatio(grayImage.Size.Width) * widthOfMap);
HeatMapModel map = HeatMapModel.Create(widthOfMap, heightOfMap, "D3");
map.properties.addAndDescribeKey("grayImage", grayImage, false, false);
map.properties.addAndDescribeKey("source", imageFile, false, false);
map.AllocateSize(widthOfMap, heightOfMap);
Int32 bs = Convert.ToInt32(grayImage.Size.Width / widthOfMap);
map.properties.addAndDescribeKey("fieldSize", bs, false, false);
for (Int32 y = 0; y < heightOfMap; y++)
{
for (Int32 x = 0; x < widthOfMap; x++)
{
map[x, y] = grayImage.GetIntesity(x, y, bs);
}
}
return(map);
}
/// <summary>
/// Renders HeatMapModel of specified size
/// </summary>
/// <param name="width">The width.</param>
/// <param name="height">The height.</param>
/// <returns></returns>
public HeatMapModel MakeHeatMap(Int32 width, Int32 height, Int32 xPeriod = 20, Int32 yPeriod = 20)
{
xAxisFunction.outputRange = new imbNumberScale(numberRangePresetEnum.zeroToOne);
yAxisFunction.outputRange = new imbNumberScale(numberRangePresetEnum.zeroToOne);
HeatMapModel map = HeatMapModel.Create(width, height, "D3");
map.AllocateSize(width, height);
for (Int32 y = 0; y < height; y++)
{
Double yValue = yAxisFunction.GetOutput(y.GetRatio(yPeriod));
for (Int32 x = 0; x < width; x++)
{
map[x, y] = xAxisFunction.GetOutput(x.GetRatio(xPeriod)) + yValue; //grayImage.GetIntesity(x, y, bs);
}
}
return(map);
}
/// <summary>
/// Creates randomized heat map, with specified x-y axis size.
/// </summary>
/// <param name="width">The width.</param>
/// <param name="height">The height.</param>
/// <param name="min">The minimum.</param>
/// <param name="max">The maximum.</param>
/// <param name="axisFormat">The axis format.</param>
/// <returns></returns>
public static HeatMapModel CreateRandom(Int32 width, Int32 height, Int32 min, Int32 max, String axisFormat = "D2")
{
List <String> xKeys = new List <string>();
List <String> yKeys = new List <string>();
for (int i = 0; i < width; i++)
{
xKeys.Add(i.ToString(axisFormat));
}
for (int i = 0; i < height; i++)
{
yKeys.Add(i.ToString(axisFormat));
}
HeatMapModel model = new HeatMapModel();
model.Deploy(xKeys, yKeys);
model.Randomize(min, max);
return(model);
}