Closedown

script/LedDetectionProc.py

@@ -1,3 +1,16 @@
+from ijutils import *
+
+
+roi_center = (800, 600)
+roi_radius = 600
+roi = (roi_center[0] - roi_radius, roi_center[1] - roi_radius, 2* roi_radius, 2*roi_radius)
+
+
+
+def in_roi(x,y):
+    return math.hypot(x-roi_radius, y-roi_radius) < roi_radius
+
+
 def integrate (ips):    
     for i in range(len(ips)):
         if i==0:
@@ -21,25 +34,29 @@ def get_image(samples = 1):
 img.backgroundEnabled=False
 led_ctrl1.write(0.0)
 led_ctrl2.write(0.0)
-time.sleep(0.5)
+time.sleep(1.0)
 
 background = get_image(5)
+#img.setBackground(background.getBufferedImage())
+#img.captureBackground(1,0)
+#show_panel(img.backgroundImage)
 
-show_panel(background)
-
-
-img.background = background
-img.backgroundEnabled = True
-time.sleep(0.5)
-
+#img.backgroundEnabled = True
 
+led_ctrl1.write(0.40)
+led_ctrl2.write(0.40)
+time.sleep(1.0)
 image = get_image(5)
 
+op_image(image, background, "subtract", float_result=True, in_place=True)
 
-invert(aux)
-auto_threshold(aux, method = "Percentile")
+
+show_panel(image.getBufferedImage())
+
+invert(image)
+auto_threshold(image, method = "MaxEntropy") #Tested ok:  MaxEntropy, Triangle, Yen
 #binary_open(aux)
-(results,output) =  analyse_particles(aux, 250,1000, 
+(r,output) =  analyse_particles(image, 250,1000, 
         fill_holes = True, exclude_edges = False, print_table=False,
         output_image = "outlines", minCirc = 0.3
         , maxCirc = 1.0)
@@ -53,8 +70,9 @@ for row in range (r.counter):
 print str(npoints) + " - " + points
     
 
-print results
-
-
+print r
+#show_panel(output.getBufferedImage())
+
+#img.backgroundEnabled=False