/// <summary>
/// Create a MSER detector using the specific parameters
/// </summary>
/// <param name="delta">In the code, it compares (size_{i}-size_{i-delta})/size_{i-delta}</param>
/// <param name="maxArea">Prune the area which bigger than max_area</param>
/// <param name="minArea">Prune the area which smaller than min_area</param>
/// <param name="maxVariation">Prune the area have similar size to its children</param>
/// <param name="minDiversity">Trace back to cut off mser with diversity < min_diversity</param>
/// <param name="maxEvolution">For color image, the evolution steps</param>
/// <param name="areaThreshold">The area threshold to cause re-initialize</param>
/// <param name="minMargin">Ignore too small margin</param>
/// <param name="edgeBlurSize">The aperture size for edge blur</param>
public MSER(
int delta = 5, int minArea = 60, int maxArea = 14400, double maxVariation = 0.25, double minDiversity = 0.2,
int maxEvolution = 200, double areaThreshold = 1.01, double minMargin = 0.003, int edgeBlurSize = 5)
{
_ptr = Features2DInvoke.cveMserCreate(
delta,
minArea,
maxArea,
maxVariation,
minDiversity,
maxEvolution,
areaThreshold,
minMargin,
edgeBlurSize,
ref _feature2D,
ref _sharedPtr);
}
