def floodFillBetweenPoints(out, lo, up, line, component_dict):
"""Floofill the image at point x,y whit are lower and upper thres hold namt lo and up
Start and stop point is the point that the def runs from to"""
#Sets the flag
flags = 4 + (255 << 8) + cv.CV_FLOODFILL_FIXED_RANGE
# Set the region to None, as we haven't found any yet
comp = None
(p1, p2) = line.getPoints()
if p1.x == p2.x:
# Initialize the seed and set deltas for increasing the seed
dx = 0
dy = 1
min = p1.y
max = p2.y - 1
elif p1.y == p2.y:
# Initialize the seed and set deltas for increasing the seed
dx = 1
dy = 0
min = p1.x
max = p2.x - 1
else:
raise lib.OrientationException("Unknown orientation")
seed = p1
# Get a new color that is not in the component dictionary
color = lib.getRandomColor()
inDict = colorString(color) in component_dict
while inDict:
color = lib.getRandomColor(color)
inDict = colorString(color) in component_dict
#Color between start_point+1 and point-1
#Tmp is the tims we find new color that lie in component_dict.
#This giv are indekeder that telle os have mots time we save whit the check
for i in range(min, max):
seed = cv.cvPoint(seed.x + dx, seed.y + dy)
#Check if the color of the next pixel equals color
if not (lib.isSameColor(out[seed.y][seed.x], color)):
#Check if the color of the next pixel are in component_dict
if not (colorString(out[seed.y][seed.x]) in component_dict):
comp = cv.CvConnectedComp()
cv.cvFloodFill(out, seed, color, cv.CV_RGB(lo,lo,lo), cv.CV_RGB(up,up,up),comp)# ,flags, None);
# Color the pixel again to make sure we return the entire region
cv.cvFloodFill(out, seed, color, cv.CV_RGB(lo,lo,lo), cv.CV_RGB(up,up,up),comp)# ,flags, None);
# Put the results in the component dictionary if we have found a region
if not (comp is None):
component_dict[colorString(color)] = (color, comp)
def splitOpBlob(floodFillImage, copy, points, line): """ Flood fill on bots side of are line, and return the 2 areas """ comp = cv.CvConnectedComp() # Get start and stop points sizeSplitBlobs = [] (start_point, stop_point) = line.getPoints() for point in points: # Get new random color color = lib.getRandomColor() if (start_point.x == stop_point.x): slice1 = floodFillImage[:,0:start_point.x+1] cv.cvFloodFill(slice1, cv.cvPoint(start_point.x, start_point.y+1), color, cv.CV_RGB(2,2,2), cv.CV_RGB(2,2,2),comp) #removes blobs that have are area under 3 if (comp.area > 2): sizeSplitBlobs.append(comp.area) slice2 = copy[:,start_point.x:] cv.cvFloodFill(slice2, cv.cvPoint(0, start_point.y+1), color, cv.CV_RGB(2,2,2), cv.CV_RGB(2,2,2),comp) sizeSplitBlobs.append(comp.area) start_point = point return sizeSplitBlobs
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" highgui.cvNamedWindow (winname1, highgui.CV_WINDOW_AUTOSIZE) highgui.cvNamedWindow (winname2, highgui.CV_WINDOW_AUTOSIZE) while True: highgui.cvShowImage (winname1, out) highgui.cvShowImage (winname2, image)
