threshold1 = 70; threshold2 = 70; out = cv.cvCreateImage(cv.cvGetSize(image), 8, 3) edgeDetector.findEdges(image, out, threshold1, threshold2) print "Finding the golden means in the picture" lines = lib.findMeans(cv.cvGetSize(image)) print "Test plot and line scanner methods" points = lineScanner.naiveLineScanner(out, image, lines[0]) out = highgui.cvLoadImage (filename) outcopy = highgui.cvLoadImage (filename) (out,areaOfBlobs) = featureDetector.floodFillLine(out, points, lines[0], lo, up) copy = cv.cvCopy(out,outcopy) #print "Finding the golden means in the picture" #lines = lib.findMeans(cv.cvGetSize(out)) #print "Drawing the means" #lib.drawLines(lines, out) #out = out[:,points[0].x :] listOverSizeOfBlobs = statestik.splitOpBlob(out,outcopy,points,lines[0]) #print listOverSizeOfBlobs #startpoint = lines[0].getPoints()[0] #points.append(lines[0].getPoints()[1]) #for point in points: # out = floofill.floofill(out, lowerThres, upperThres, startpoint, point, 1)
threshold2 = 70; out = cv.cvCreateImage(cv.cvGetSize(image), 8, 3) edgeDetector.findEdges(image, out, threshold1, threshold2) print "Finding the golden means in the picture" lines = lib.findGoldenMeans(cv.cvGetSize(image)) cut = lines[0] print "Test plot and line scanner methods" points = lineScanner.naiveLineScanner(out, image, cut) out = highgui.cvLoadImage (filename) (out, components) = featureDetector.floodFillLine(image, out, points, cut, lo, up) print components[0].area # Test comp = cv.CvConnectedComp() seed = cv.cvPoint(200, 20) cv.cvFloodFill(image, seed, lib.COL_RED, cv.CV_RGB(lo,lo,lo), cv.CV_RGB(up,up,up),comp)# ,flags, None); print comp.area lib.drawBoundingBoxes(out, components) #lib.drawLines(out) winname1 = "Find regions" winname2 = "original"
edgeDetector.findEdges(image, out, threshold1, threshold2)
print "Finding the golden means in the picture"
lines = lib.findGoldenMeans(cv.cvGetSize(image))
# Define cut
cut = lines[0]
print "Test plot and line scanner methods"
points = lineScanner.naiveLineScanner(out, cut)
out = highgui.cvLoadImage (filename)
comp_dict = {}
featureDetector.floodFillLine(image, out, points, cut, lo, up, comp_dict)
# Set margin
margin = 15
# Draw margin
lib.drawMargin(out, cut, margin)
# Set up constraints
constraints = regionSelector.Constraints(cv.cvGetSize(image), cut, margin, 0.002, 0.25)
# Prune components
newComponents = regionSelector.pruneRegions(comp_dict, constraints)
# Draw boxes of selected components
#lib.drawBoundingBoxes(out, newComponents)
edgeDetector.findEdges(image, out, threshold1, threshold2)
print "Finding the golden means in the picture"
lines = lib.findGoldenMeans(cv.cvGetSize(image))
# Define cut
cut = lines[0]
print "Test plot and line scanner methods"
points = lineScanner.naiveLineScanner(out, cut)
out = highgui.cvLoadImage (filename)
comp_dict = {}
featureDetector.floodFillLine(image, out, points, cut, lo, up, comp_dict)
# Set margin
margin = 15
# Draw margin
lib.drawMargin(out, cut, margin)
# Set up constraints
constraints = regionSelector.Constraints(cv.cvGetSize(image), cut, margin, 0.002, 0.25)
# Prune components
newComponents = regionSelector.pruneRegions(comp_dict, constraints)
# Draw boxes of selected components
lib.drawBoundingBoxes(out, newComponents)
