cv.ContourFitting - mexopencv

Contour Fitting algorithm using Fourier descriptors

Contour fitting matches two contours z_a and z_b minimizing distance d(z_a, z_b) = sum_n (a_n - s * b_n * exp(j * (n * alpha + phi)))^2 where a_n and b_n are Fourier descriptors of z_a and z_b and s is a scaling factor and phi is angle rotation and alpha is starting point factor adjustement.

References:

[PersoonFu1977]:

E Persoon and King-Sun Fu. "Shape discrimination using fourier descriptors". IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(3):170-179, 1977.

[BergerRaghunathan1998]:

L Berger, V A Raghunathan, C Launay, D Ausserre, and Y Gallot. "Coalescence in 2 dimensions: experiments on thin copolymer films and numerical simulations". The European Physical Journal B - Condensed Matter and Complex Systems, 2(1):93-99, 1998.

Superclasses	handle
Sealed	false
Construct on load	false

CtrSize	number of Fourier descriptors used in
FDSize	number of Fourier descriptors used for optimal curve matching in
id	Object ID

	addlistener	Add listener for event.
Static	contourSampling	Contour sampling
	delete	Destructor
	eq	== (EQ) Test handle equality.
	estimateTransformation	Fits two closed curves using Fourier descriptors
	findobj	Find objects matching specified conditions.
	findprop	Find property of MATLAB handle object.
Static	fourierDescriptor	Fourier descriptors for planed closed curves
	ge	>= (GE) Greater than or equal relation for handles.
	gt	> (GT) Greater than relation for handles.
Sealed	isvalid	Test handle validity.
	le	<= (LE) Less than or equal relation for handles.
	listener	Add listener for event without binding the listener to the source object.
	lt	< (LT) Less than relation for handles.
	ne	~= (NE) Not equal relation for handles.
	notify	Notify listeners of event.
Static	transformFD	Transform a contour