88 lines
2.0 KiB
Python
88 lines
2.0 KiB
Python
###################################################################################################
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# Procedure to detect the cover orientation
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###################################################################################################
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import ch.psi.pshell.imaging.Utils.integrateVertically as integrateVertically
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img.backgroundEnabled=False
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line = load_image("{images}/line.png", title="Line")
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line.getProcessor().setBackgroundValue(0.0)
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#renderer = show_panel(line.bufferedImage)
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#ip = get_image()
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ip = average_frames(1000)
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ip = grayscale(ip, False)
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show_panel(ip.bufferedImage)
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smooth(ip)
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#bandpass_filter(ip, 30, 1000)
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edges(ip)
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#invert(ip)
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#auto_threshold(ip, method = "Default")
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#auto_threshold(ip, method = "Li")
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auto_threshold(ip, method = "MaxEntropy")
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"""
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for m in AutoThresholder.getMethods():
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print m
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aux = ip.duplicate()
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auto_threshold(aux, method = m)
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binary_fill_holes(aux, dark_background=False)
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renderer = show_panel(aux.bufferedImage)
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time.sleep(1.0)
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"""
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binary_dilate(ip, dark_background=False)
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#binary_fill_holes(ip, dark_background=False)
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#binary_open(ip, dark_background=Tr)
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renderer = show_panel(ip.bufferedImage)
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line = sub_image(line, 325, 325, 512, 512)
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ip = sub_image(ip, 325, 325, 512, 512)
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#op = op_fft(ip, line, "correlate")
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renderer = show_panel(ip.bufferedImage)
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#renderer = show_panel(op.bufferedImage)
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#line.show()
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"""
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vals = []
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for i in range (180):
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l = line.duplicate()
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l.getProcessor().setBackgroundValue(0.0)
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l.getProcessor().rotate(float(i))
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op = op_fft(ip, l, "correlate")
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bi = op.getBufferedImage()
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p = integrateVertically(bi)
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vals.append(sum(p))
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#renderer = show_panel(op.bufferedImage)
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#time.sleep(0.001)
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plot(vals)
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"""
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#image_fft(ip)
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"""
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(r,output) = analyse_particles(ip, 200000,500000,
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fill_holes = True, exclude_edges = False, print_table=True,
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output_image = "outlines", minCirc = 0.3
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, maxCirc = 1.0)
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show_panel(output.bufferedImage)
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"""
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