59 lines
1.7 KiB
Python
59 lines
1.7 KiB
Python
###################################################################################################
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# Procedure to detect the puck light spots.
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###################################################################################################
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img.backgroundEnabled=False
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led_ctrl1.write(0.0)
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led_ctrl2.write(0.0)
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time.sleep(0.1)
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img.waitNext(100)
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background = average_frames(5)
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#img.backgroundImage=background.bufferedImage
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#img.captureBackground(1,0)
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#show_panel(img.backgroundImage)
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#img.backgroundEnabled = True
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led_ctrl1.write(0.40)
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led_ctrl2.write(0.40)
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time.sleep(0.1)
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img.waitNext(100)
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image = average_frames(5)
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led_ctrl1.write(0.0)
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led_ctrl2.write(0.0)
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op_image(image, background, "subtract", float_result=True, in_place=True)
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renderer = show_panel(image.getBufferedImage())
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renderer.clearOverlays()
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invert(image)
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auto_threshold(image, method = "MaxEntropy") #Tested ok: MaxEntropy, Triangle, Yen
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#binary_open(aux)
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(r,output) = analyse_particles(image, 250,1000,
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fill_holes = True, exclude_edges = False, print_table=False,
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output_image = "outlines", minCirc = 0.3
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, maxCirc = 1.0)
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points = ""
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npoints = 0
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for row in range (r.counter):
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if in_roi(r.getValue("XM",row), r.getValue("YM",row)):
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#x, y = int(r.getValue("XM", row))+roi[0], int(r.getValue("YM", row))+roi[1]
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x, y = int(r.getValue("XM", row)), int(r.getValue("YM", row))
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points = points + " (" + str(x) + ", " + str(y) + ")"
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npoints = npoints + 1
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renderer.addOverlay(Crosshairs(Pen(java.awt.Color.MAGENTA), java.awt.Point(x,y), java.awt.Dimension(15,15)))
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print str(npoints) + " - " + points
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print r
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#show_panel(output.getBufferedImage())
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#img.backgroundEnabled=False
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