|
|
|
#!/usr/bin/python
|
|
|
|
"""
|
|
|
|
This program is a demonstration of ellipse fitting.
|
|
|
|
|
|
|
|
Trackbar controls threshold parameter.
|
|
|
|
|
|
|
|
Gray lines are contours. Colored lines are fit ellipses.
|
|
|
|
|
|
|
|
Original C implementation by: Denis Burenkov.
|
|
|
|
Python implementation by: Roman Stanchak, James Bowman
|
|
|
|
"""
|
|
|
|
|
|
|
|
import sys
|
|
|
|
import urllib2
|
|
|
|
import random
|
|
|
|
import cv2.cv as cv
|
|
|
|
|
|
|
|
def contour_iterator(contour):
|
|
|
|
while contour:
|
|
|
|
yield contour
|
|
|
|
contour = contour.h_next()
|
|
|
|
|
|
|
|
class FitEllipse:
|
|
|
|
|
|
|
|
def __init__(self, source_image, slider_pos):
|
|
|
|
self.source_image = source_image
|
|
|
|
cv.CreateTrackbar("Threshold", "Result", slider_pos, 255, self.process_image)
|
|
|
|
self.process_image(slider_pos)
|
|
|
|
|
|
|
|
def process_image(self, slider_pos):
|
|
|
|
"""
|
|
|
|
This function finds contours, draws them and their approximation by ellipses.
|
|
|
|
"""
|
|
|
|
stor = cv.CreateMemStorage()
|
|
|
|
|
|
|
|
# Create the destination images
|
|
|
|
image02 = cv.CloneImage(self.source_image)
|
|
|
|
cv.Zero(image02)
|
|
|
|
image04 = cv.CreateImage(cv.GetSize(self.source_image), cv.IPL_DEPTH_8U, 3)
|
|
|
|
cv.Zero(image04)
|
|
|
|
|
|
|
|
# Threshold the source image. This needful for cv.FindContours().
|
|
|
|
cv.Threshold(self.source_image, image02, slider_pos, 255, cv.CV_THRESH_BINARY)
|
|
|
|
|
|
|
|
# Find all contours.
|
|
|
|
cont = cv.FindContours(image02,
|
|
|
|
stor,
|
|
|
|
cv.CV_RETR_LIST,
|
|
|
|
cv.CV_CHAIN_APPROX_NONE,
|
|
|
|
(0, 0))
|
|
|
|
|
|
|
|
for c in contour_iterator(cont):
|
|
|
|
# Number of points must be more than or equal to 6 for cv.FitEllipse2
|
|
|
|
if len(c) >= 6:
|
|
|
|
# Copy the contour into an array of (x,y)s
|
|
|
|
PointArray2D32f = cv.CreateMat(1, len(c), cv.CV_32FC2)
|
|
|
|
for (i, (x, y)) in enumerate(c):
|
|
|
|
PointArray2D32f[0, i] = (x, y)
|
|
|
|
|
|
|
|
# Draw the current contour in gray
|
|
|
|
gray = cv.CV_RGB(100, 100, 100)
|
|
|
|
cv.DrawContours(image04, c, gray, gray,0,1,8,(0,0))
|
|
|
|
|
|
|
|
# Fits ellipse to current contour.
|
|
|
|
(center, size, angle) = cv.FitEllipse2(PointArray2D32f)
|
|
|
|
|
|
|
|
# Convert ellipse data from float to integer representation.
|
|
|
|
center = (cv.Round(center[0]), cv.Round(center[1]))
|
|
|
|
size = (cv.Round(size[0] * 0.5), cv.Round(size[1] * 0.5))
|
|
|
|
|
|
|
|
# Draw ellipse in random color
|
|
|
|
color = cv.CV_RGB(random.randrange(256),random.randrange(256),random.randrange(256))
|
|
|
|
cv.Ellipse(image04, center, size,
|
|
|
|
angle, 0, 360,
|
|
|
|
color, 2, cv.CV_AA, 0)
|
|
|
|
|
|
|
|
# Show image. HighGUI use.
|
|
|
|
cv.ShowImage( "Result", image04 )
|
|
|
|
|
|
|
|
|
|
|
|
if __name__ == '__main__':
|
|
|
|
if len(sys.argv) > 1:
|
|
|
|
source_image = cv.LoadImage(sys.argv[1], cv.CV_LOAD_IMAGE_GRAYSCALE)
|
|
|
|
else:
|
|
|
|
url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/stuff.jpg'
|
|
|
|
filedata = urllib2.urlopen(url).read()
|
|
|
|
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
|
|
|
|
cv.SetData(imagefiledata, filedata, len(filedata))
|
|
|
|
source_image = cv.DecodeImage(imagefiledata, cv.CV_LOAD_IMAGE_GRAYSCALE)
|
|
|
|
|
|
|
|
# Create windows.
|
|
|
|
cv.NamedWindow("Source", 1)
|
|
|
|
cv.NamedWindow("Result", 1)
|
|
|
|
|
|
|
|
# Show the image.
|
|
|
|
cv.ShowImage("Source", source_image)
|
|
|
|
|
|
|
|
fe = FitEllipse(source_image, 70)
|
|
|
|
|
|
|
|
print "Press any key to exit"
|
|
|
|
cv.WaitKey(0)
|
|
|
|
|
|
|
|
cv.DestroyWindow("Source")
|
|
|
|
cv.DestroyWindow("Result")
|