147 lines
4.6 KiB
Python
147 lines
4.6 KiB
Python
###################################################################################################
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# Example of using ImageJ functionalities through ijutils.
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###################################################################################################
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from ijutils import *
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import java.awt.Color as Color
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import ch.psi.pshell.imaging.Filter as Filter
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from ch.psi.pshell.imaging.Overlays import *
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import ch.psi.pshell.imaging.Pen as Pen
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"""
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def detect_led(ip):
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aux = grayscale(ip, in_place=False)
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threshold(aux,0,50)
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binary_fill_holes(aux)
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return analyse_particles(aux, 10000,50000,
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fill_holes = False, exclude_edges = True,print_table=True,
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output_image = "outlines", minCirc = 0.4, maxCirc = 1.0)
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"""
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roi_center = (2322, 1025)
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roi_radius = 1000
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integration_count = 5
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integration_continuous = False
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integration_partial = False
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frames = []
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"""
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def in_roi(x,y):
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global roi_center, roi_radius
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return math.hypot(x-roi_center[0], y-roi_center[1]) < roi_radius
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def detect_led(ip):
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aux = grayscale(ip, in_place=False)
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invert(aux)
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#subtract_background(aux)
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auto_threshold(aux)
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binary_open(aux)
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(results,output) = analyse_particles(aux, 800,4000,
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fill_holes = True, exclude_edges = True,print_table=False,
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output_image = "outlines", minCirc = 0.4
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, maxCirc = 1.0)
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r=results
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print "\n"
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print r.getColumnHeadings()
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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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print r.getRowAsString(row)
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else:
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#print >> sys.stderr, 'Invalid location:' + str(r.getValue("XM", row)) + ", " + str( r.getValue("YM", row))
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print >> sys.stderr, r.getRowAsString(row)
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return (results,output)
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class MyFilter(Filter):
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def process(self, image, data):
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ip = load_image(image)
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(results,output) = detect_led(ip)
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invert(output)
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op_image(ip, output, "xor")
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return ip.getBufferedImage()
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"""
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def in_roi(x,y):
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return math.hypot(x-roi_radius, y-roi_radius) < roi_radius
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def integrate (ips):
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for i in range(len(ips)):
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if i==0:
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aux = new_image(2* roi_radius, 2*roi_radius, image_type="float", title = "sum", fill_color = None)
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op_image(aux, ips[i], "add", float_result=True, in_place=True)
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op_const(aux, "divide", len(ips), in_place=True)
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return aux
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last_ret = (None, None)
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def detect_led(ip):
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global roi_center, roi_radius, integration_count, integration_continuous, integration_partial, frames
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global count , last_ret
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aux = sub_image(ip, roi_center[0] - roi_radius, roi_center[1] - roi_radius, 2* roi_radius, 2*roi_radius)
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grayscale(aux)
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if (integration_count>1):
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frames.append(aux)
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if len(frames) >integration_count:
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del frames[0]
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if not integration_continuous:
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if (len(frames)< integration_count):
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if last_ret[1] is not None: invert(last_ret[1])
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return last_ret
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if (not integration_partial) and len(frames) <integration_count:
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return last_ret
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aux = integrate(frames)
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#aux = get_channel(aux, "blue")
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invert(aux)
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#subtract_background(aux)
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auto_threshold(aux)
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#binary_open(aux)
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(results,output) = analyse_particles(aux, 400,4000,
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fill_holes = True, exclude_edges = True,print_table=False,
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output_image = "outlines", minCirc = 0.3
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, maxCirc = 1.0)
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r=results
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print "\n"
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print r.getColumnHeadings()
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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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print r.getRowAsString(row)
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else:
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#print >> sys.stderr, 'Invalid location:' + str(r.getValue("XM", row)) + ", " + str( r.getValue("YM", row))
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print >> sys.stderr, r.getRowAsString(row)
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#return (results,aux)
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last_ret = (results,output)
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if not integration_continuous:
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frames = []
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return (results,output)
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class MyFilter(Filter):
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def process(self, image, data):
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global roi_center, roi_radius
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ip = load_image(image)
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(results,output) = detect_led(ip)
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if output is not None:
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invert(output)
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output = pad_image(output, roi_center[0] - roi_radius, 0, roi_center[1] - roi_radius, 0)
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op_image(ip, output, "xor")
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return ip.getBufferedImage()
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#Setting the filter to a source
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img.setFilter(MyFilter())
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