public void findSilhouettesWeak(Image <Gray, Byte> input)
{
Image <Gray, Byte> fatInput = morphologicalOperations(input);
List <Silhouette> silhouettes = new List <Silhouette>();
numTargets = 0;
var inputSize = input.Size;
//contours method:
Image <Gray, Byte> filter = new Image <Gray, byte>(inputSize);
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
CvInvoke.FindContours(fatInput, contours, null, Emgu.CV.CvEnum.RetrType.List, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxNone);
for (int i = 0; i < contours.Size; i++)
{
double a = CvInvoke.ContourArea(contours[i]); // Find the area of contour
if (a < minPixels)
{
continue;
}
MCvScalar white = new MCvScalar(255, 255, 255);
filter = new Image <Gray, Byte>(inputSize);
CvInvoke.DrawContours(filter, contours, i, white, -1);
Silhouette temp = new Silhouette(input.Copy(filter), 0);
temp.compute();
//these lines are diffrent in easy mode:
if (temp.count < minPixels)
{
continue;
}
if (temp.linearness < minLinearness)
{
continue;
}
if (temp.gappiness < minGappiness)
{
continue;
}
var moment = CvInvoke.Moments(contours[i], true);
temp.centroid.X = (int)(moment.M10 / moment.M00);
temp.centroid.Y = (int)(moment.M01 / moment.M00);
temp.centroid = temp.findTop(false);
silhouettes.Add(temp);
numTargets++;
}
//move local variable to global:
this.silhouettes = silhouettes;
}
public void findSilhouettes(Image <Gray, Byte> input)
{
Image <Gray, Byte> fatInput = morphologicalOperations(input);
List <Silhouette> silhouettes = new List <Silhouette>();
numTargets = 0;
var inputSize = input.Size;
//contours method:
Image <Gray, Byte> filter = new Image <Gray, byte>(inputSize);
VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint();
CvInvoke.FindContours(fatInput, contours, null, Emgu.CV.CvEnum.RetrType.List, Emgu.CV.CvEnum.ChainApproxMethod.ChainApproxNone);
for (int i = 0; i < contours.Size; i++)
{
double a = CvInvoke.ContourArea(contours[i]); // Find the area of contour
if (a < minPixels)
{
continue;
}
MCvScalar white = new MCvScalar(255, 255, 255);
filter = new Image <Gray, Byte>(inputSize);
CvInvoke.DrawContours(filter, contours, i, white, -1);
Silhouette temp = new Silhouette(input.Copy(filter), 0);
temp.compute();
if (temp.count < minPixels)
{
continue;
}
if (temp.linearness < minLinearness)
{
continue;
}
if (temp.gappiness < minGappiness)
{
continue;
}
var moment = CvInvoke.Moments(contours[i], true);
temp.centroid.X = (int)(moment.M10 / moment.M00);
temp.centroid.Y = (int)(moment.M01 / moment.M00);
temp.centroid = temp.findTop();
silhouettes.Add(temp);
numTargets++;
}
////recursive method:
//for (int i = input.Rows - 1; i >= 0; i--)
//{
// for (int j = input.Cols - 1; j >= 0; j--)
// {
// if (inputData[i, j, 0] == 255)
// {
// count = 0;
// Image<Gray, Byte> temp = new Image<Gray, Byte>(inputSize);
// outputData = temp.Data;
// crawlFrom(i, j);
// if (count > minPixels)
// {
// Silhouette s = new Silhouette(temp, count);
// if (s.linearness() / (float)s.count > minLinearness)
// silhouettes.Add(s);
// }
// }
// }
//}
//filter out low linearness silhouettes:
//silhouettes = silhouettes.Where(s => s.linearness() / (float)s.count > minLinearness).ToList();
//move local variable to global:
this.silhouettes = silhouettes;
}
//private void crawlFrom(int i, int j)
//{
// outputData[i, j, 0] = 255;//else add pixel to output
// count++;//increment count
// inputData[i, j, 0] = 0;//blacken input image
// //recursively call on neighbors:
// if(i + 1 < height)
// if (inputData[i + 1, j, 0] == 255)
// crawlFrom(i + 1, j);
// if (i - 1 >= 0)
// if (inputData[i - 1, j, 0] == 255)
// crawlFrom(i - 1, j);
// if (j + 1 < width)
// if (inputData[i, j + 1, 0] == 255)
// crawlFrom(i, j + 1);
// if (j - 1 >= 0)
// if (inputData[i, j - 1, 0] == 255)
// crawlFrom(i, j - 1);
//}
private Point findHead(Silhouette input)
{
return(new Point(input.top.X, input.top.Y - headOffset));//todo improve this?
}
