################################################################################################### 
# Procedure to detect the cover orientation
################################################################################################### 
import ch.psi.pshell.imaging.Utils.integrateVertically as integrateVertically
img.backgroundEnabled=False

line = load_image("{images}/line.png", title="Line")

line.getProcessor().setBackgroundValue(0.0)

#renderer = show_panel(line.bufferedImage)
ip = get_image()


smooth(ip)
#bandpass_filter(ip, 30, 1000)
edges(ip)

#invert(ip)
#auto_threshold(ip, method = "Default")


#auto_threshold(ip, method = "Li")
auto_threshold(ip, method = "MaxEntropy")

"""
for m in AutoThresholder.getMethods():   
    print m
    aux = ip.duplicate()
    auto_threshold(aux, method = m)
    binary_fill_holes(aux, dark_background=False)
    renderer = show_panel(aux.bufferedImage)
    time.sleep(1.0)
"""
#binary_fill_holes(ip, dark_background=True)
#binary_fill_holes(ip, dark_background=False)
#binary_open(ip, dark_background=Tr)

renderer = show_panel(ip.bufferedImage)








line = sub_image(line, 89, 89, 1024, 1024)
ip = sub_image(ip, 89, 89, 1024, 1024)
#op = op_fft(ip, line, "correlate") 

#renderer = show_panel(op.bufferedImage)
#line.show()

vals = []
for i in range (180):
    l = line.duplicate()
    l.getProcessor().setBackgroundValue(0.0)
    l.getProcessor().rotate(float(i))
    op = op_fft(ip, l, "correlate") 
    bi = op.getBufferedImage()
    p = integrateVertically(bi)
    vals.append(sum(p))
    
    #renderer = show_panel(op.bufferedImage)
    #time.sleep(0.001)


#image_fft(ip)



"""
(r,output) =  analyse_particles(ip, 200000,500000, 
        fill_holes = True, exclude_edges = False, print_table=True,
        output_image = "outlines", minCirc = 0.3
        , maxCirc = 1.0)


show_panel(output.bufferedImage)
"""