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Calculate initial guess for closest point on ellipse for speedup

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Johannes Schönberger
2013-05-02 18:30:06 +02:00
committed by Johannes Schönberger
parent c9353ce8f5
commit 444d51ceb7
1 changed files with 5 additions and 1 deletions
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skimage/measure/fit.py
+5 -1
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@@ -416,10 +416,14 @@ class EllipseModel(BaseModel):
residuals = np.empty((N, ), dtype=np.double)
# initial guess for parameter t of closest point on ellipse
t0 = np.arctan2(y - yc, x - xc) - theta
# determine shortest distance to ellipse for each point
for i in range(N):
xi = x[i]
yi = y[i]
t, _ = optimize.leastsq(fun, 0, args=(xi, yi), Dfun=Dfun,
t, _ = optimize.leastsq(fun, t0[i], args=(xi, yi), Dfun=Dfun,
col_deriv=True)
residuals[i] = np.sqrt(fun(t, xi, yi))