def compareFittingH(houghLine):
p0, pl = houghLine
linhas = n.walkInLine(p0[0],p0[1],pl[0],pl[1],mag.astype("float"),edges.astype("float"))
linhas2 = n.walkInLine2(p0[0],p0[1],pl[0],pl[1],mag.astype("float"),edges.astype("float"))
plot(linhas[:,0]-linhas2[:,0])
grid()
lines = skimage.transform.probabilistic_hough(edges,10,50,5)
#linha,coluna = nonzero(edges==True)
#p0,pl = lines[0]
#linhas = n.walkInLine(p0[0],p0[1],pl[0],pl[1],mag.astype("float"),edges.astype("float"))
ion()
imshow(edges, cm.bone, interpolation='nearest')
for p0,pl in lines:
linhas = n.walkInLine(p0[0],p0[1],pl[0],pl[1],mag.astype("float"),edges.astype("float"))
# linhas2 = n.walkInLine2(p0[0],p0[1],pl[0],pl[1],mag.astype("float"),edges.astype("float"))
if len(linhas) != 0:
plot(linhas[:,1],linhas[:,0],'-+')
# plot(linhas2[:,1],linhas2[:,0],'-d')
def compareFittingV(houghLine):
p0, pl = houghLine
linhas = n.walkInLine(p0[0],p0[1],pl[0],pl[1],mag.astype("float"),edges.astype("float"))
linhas2 = n.walkInLine2(p0[0],p0[1],pl[0],pl[1],mag.astype("float"),edges.astype("float"))
plot(linhas[:,1]-linhas2[:,1])
grid()
def compareFittingH(houghLine):
p0, pl = houghLine
