Tag: MAT
This is a method used to quantify circle-ness = }{}.
This is a method used to quantify circle-ness = }{^2}.
This is a method used to quantify circle-ness = ^2}{}.
This is a method used to quantify circle-ness = {a^2}} Where: a is the length of the semi-major axis. b is the length of the semi-minor axis.
This is a method used to quantify circle-ness Fourier descriptors are derived from the Fourier transform of the shape’s boundary. If the boundary is represented as a complex signal (z(t) = x(t) + iy(t)), the Fourier descriptors (a_n) are given by: a_n = {N} _{k=0}^{N-1} z(k) e^{-i {N}} where: N is the number of boundary points.
Welcome to a look into a piece of my mind, or rather my second mind. I’m a 3rd year Engineering Science student at the University of Toronto majoring in Electrical & Computer Engineering and minoring in Robotics and Artificial Intelligence.
Properties of The Fourier Transform Linearity (Superposition) Let g_1(t) G_1(f), g_2(t) G_2(f), then c_1, c_2 : c_1 g_1(t) + c_2 g_2(t) c_1 G_1(f) + c_2 G_2(f) (2.14) Proof From the ...
Fourier Transform (Analysis Equation) The Fourier transform will Uniquely define G(f) G(f) = \{g(t)\} = _{-}^ g(t) (-j2 f t) dt (2.1) For a non-periodic g(t) ...