def __findcurve(self, img):
storage = cv.cvCreateMemStorage(0)
nb_contours, cont = cv.cvFindContours(img, storage,
cv.sizeof_CvContour,
cv.CV_RETR_LIST,
cv.CV_CHAIN_APPROX_NONE,
cv.cvPoint(0, 0))
cidx = int(random.random() * len(color))
if (self.drawcontour):
cv.cvDrawContours(self.drawimg, cont, _white, _white, 1, 1,
cv.CV_AA, cv.cvPoint(0, 0))
idx = 0
for c in cont.hrange():
PointArray = cv.cvCreateMat(1, c.total, cv.CV_32SC2)
PointArray2D32f = cv.cvCreateMat(1, c.total, cv.CV_32FC2)
cv.cvCvtSeqToArray(c, PointArray,
cv.cvSlice(0, cv.CV_WHOLE_SEQ_END_INDEX))
fpoints = []
for i in range(c.total):
kp = myPoint()
kp.x = cv.cvGet2D(PointArray, 0, i)[0]
kp.y = cv.cvGet2D(PointArray, 0, i)[1]
kp.index = idx
idx += 1
fpoints.append(kp)
self.allcurve.append(fpoints)
self.curvelength = idx
def __findcurve(self, img):
storage = cv.cvCreateMemStorage(0)
nb_contours, cont = cv.cvFindContours (img,
storage,
cv.sizeof_CvContour,
cv.CV_RETR_LIST,
cv.CV_CHAIN_APPROX_NONE,
cv.cvPoint (0,0))
cidx = int(random.random() * len(color))
if (self.drawcontour):
cv.cvDrawContours (self.drawimg, cont, _white, _white, 1, 1, cv.CV_AA, cv.cvPoint (0, 0))
idx = 0
for c in cont.hrange():
PointArray = cv.cvCreateMat(1, c.total, cv.CV_32SC2)
PointArray2D32f= cv.cvCreateMat( 1, c.total , cv.CV_32FC2)
cv.cvCvtSeqToArray(c, PointArray, cv.cvSlice(0, cv.CV_WHOLE_SEQ_END_INDEX))
fpoints = []
for i in range(c.total):
kp = myPoint()
kp.x = cv.cvGet2D(PointArray,0, i)[0]
kp.y = cv.cvGet2D(PointArray,0, i)[1]
kp.index = idx
idx += 1
fpoints.append(kp)
self.allcurve.append(fpoints)
self.curvelength = idx
def __findContour(self, filename): #find the contour of images, and save all points in self.vKeyPoints
self.img = highgui.cvLoadImage (filename)
self.grayimg = cv.cvCreateImage(cv.cvSize(self.img.width, self.img.height), 8,1)
self.drawimg = cv.cvCreateImage(cv.cvSize(self.img.width, self.img.height), 8,3)
cv.cvCvtColor (self.img, self.grayimg, cv.CV_BGR2GRAY)
cv.cvSmooth(self.grayimg, self.grayimg, cv.CV_BLUR, 9)
cv.cvSmooth(self.grayimg, self.grayimg, cv.CV_BLUR, 9)
cv.cvSmooth(self.grayimg, self.grayimg, cv.CV_BLUR, 9)
cv.cvThreshold( self.grayimg, self.grayimg, self.threshold, self.threshold +100, cv.CV_THRESH_BINARY )
cv.cvZero(self.drawimg)
storage = cv.cvCreateMemStorage(0)
nb_contours, cont = cv.cvFindContours (self.grayimg,
storage,
cv.sizeof_CvContour,
cv.CV_RETR_LIST,
cv.CV_CHAIN_APPROX_NONE,
cv.cvPoint (0,0))
cv.cvDrawContours (self.drawimg, cont, cv.cvScalar(255,255,255,0), cv.cvScalar(255,255,255,0), 1, 1, cv.CV_AA, cv.cvPoint (0, 0))
self.allcurve = []
idx = 0
for c in cont.hrange():
PointArray = cv.cvCreateMat(1, c.total , cv.CV_32SC2)
PointArray2D32f= cv.cvCreateMat( 1, c.total , cv.CV_32FC2)
cv.cvCvtSeqToArray(c, PointArray, cv.cvSlice(0, cv.CV_WHOLE_SEQ_END_INDEX))
fpoints = []
for i in range(c.total):
kp = myPoint()
kp.x = cv.cvGet2D(PointArray,0, i)[0]
kp.y = cv.cvGet2D(PointArray,0, i)[1]
kp.index = idx
idx += 1
fpoints.append(kp)
self.allcurve.append(fpoints)
self.curvelength = idx
def returnEllipses(contours):
ellipses = []
for c in contours.hrange():
count = c.total;
if( count < 6 ):
continue;
PointArray = cv.cvCreateMat(1, count, cv.CV_32SC2)
PointArray2D32f= cv.cvCreateMat( 1, count, cv.CV_32FC2)
cv.cvCvtSeqToArray(c, PointArray, cv.cvSlice(0, cv.CV_WHOLE_SEQ_END_INDEX));
cv.cvConvert( PointArray, PointArray2D32f )
box = cv.CvBox2D()
box = cv.cvFitEllipse2(PointArray2D32f);
#cv.cvDrawContours(frame, c, cv.CV_RGB(255,255,255), cv.CV_RGB(255,255,255),0,1,8,cv.cvPoint(0,0));
center = cv.CvPoint()
size = cv.CvSize()
center.x = cv.cvRound(box.center.x);
center.y = cv.cvRound(box.center.y);
size.width = cv.cvRound(box.size.width*0.5);
size.height = cv.cvRound(box.size.height*0.5);
box.angle = -box.angle;
ellipses.append({'center':center, 'size':size, 'angle':box.angle})
return ellipses
def process_image(slider_pos):
"""
Define trackbar callback functon. This function find contours,
draw it and approximate it by ellipses.
"""
stor = cv.cvCreateMemStorage(0)
# Threshold the source image. This needful for cv.cvFindContours().
cv.cvThreshold(image03, image02, slider_pos, 255, cv.CV_THRESH_BINARY)
# Find all contours.
nb_contours, cont = cv.cvFindContours(image02, stor, cv.sizeof_CvContour,
cv.CV_RETR_LIST,
cv.CV_CHAIN_APPROX_NONE,
cv.cvPoint(0, 0))
# Clear images. IPL use.
cv.cvZero(image02)
cv.cvZero(image04)
# This cycle draw all contours and approximate it by ellipses.
for c in cont.hrange():
count = c.total
# This is number point in contour
# Number point must be more than or equal to 6 (for cv.cvFitEllipse_32f).
if (count < 6):
continue
# Alloc memory for contour point set.
PointArray = cv.cvCreateMat(1, count, cv.CV_32SC2)
PointArray2D32f = cv.cvCreateMat(1, count, cv.CV_32FC2)
# Get contour point set.
cv.cvCvtSeqToArray(c, PointArray,
cv.cvSlice(0, cv.CV_WHOLE_SEQ_END_INDEX))
# Convert CvPoint set to CvBox2D32f set.
cv.cvConvert(PointArray, PointArray2D32f)
box = cv.CvBox2D()
# Fits ellipse to current contour.
box = cv.cvFitEllipse2(PointArray2D32f)
# Draw current contour.
cv.cvDrawContours(image04, c, cv.CV_RGB(255, 255, 255),
cv.CV_RGB(255, 255, 255), 0, 1, 8, cv.cvPoint(0, 0))
# Convert ellipse data from float to integer representation.
center = cv.CvPoint()
size = cv.CvSize()
center.x = cv.cvRound(box.center.x)
center.y = cv.cvRound(box.center.y)
size.width = cv.cvRound(box.size.width * 0.5)
size.height = cv.cvRound(box.size.height * 0.5)
box.angle = -box.angle
# Draw ellipse.
cv.cvEllipse(image04, center, size, box.angle, 0, 360,
cv.CV_RGB(0, 0, 255), 1, cv.CV_AA, 0)
# Show image. HighGUI use.
highgui.cvShowImage("Result", image04)
def process_image( slider_pos ):
"""
Define trackbar callback functon. This function find contours,
draw it and approximate it by ellipses.
"""
stor = cv.cvCreateMemStorage(0);
# Threshold the source image. This needful for cv.cvFindContours().
cv.cvThreshold( image03, image02, slider_pos, 255, cv.CV_THRESH_BINARY );
# Find all contours.
nb_contours, cont = cv.cvFindContours (image02,
stor,
cv.sizeof_CvContour,
cv.CV_RETR_LIST,
cv.CV_CHAIN_APPROX_NONE,
cv.cvPoint (0,0))
# Clear images. IPL use.
cv.cvZero(image02);
cv.cvZero(image04);
# This cycle draw all contours and approximate it by ellipses.
for c in cont.hrange():
count = c.total; # This is number point in contour
# Number point must be more than or equal to 6 (for cv.cvFitEllipse_32f).
if( count < 6 ):
continue;
# Alloc memory for contour point set.
PointArray = cv.cvCreateMat(1, count, cv.CV_32SC2)
PointArray2D32f= cv.cvCreateMat( 1, count, cv.CV_32FC2)
# Get contour point set.
cv.cvCvtSeqToArray(c, PointArray, cv.cvSlice(0, cv.CV_WHOLE_SEQ_END_INDEX));
# Convert CvPoint set to CvBox2D32f set.
cv.cvConvert( PointArray, PointArray2D32f )
box = cv.CvBox2D()
# Fits ellipse to current contour.
box = cv.cvFitEllipse2(PointArray2D32f);
# Draw current contour.
cv.cvDrawContours(image04, c, cv.CV_RGB(255,255,255), cv.CV_RGB(255,255,255),0,1,8,cv.cvPoint(0,0));
# Convert ellipse data from float to integer representation.
center = cv.CvPoint()
size = cv.CvSize()
center.x = cv.cvRound(box.center.x);
center.y = cv.cvRound(box.center.y);
size.width = cv.cvRound(box.size.width*0.5);
size.height = cv.cvRound(box.size.height*0.5);
box.angle = -box.angle;
# Draw ellipse.
cv.cvEllipse(image04, center, size,
box.angle, 0, 360,
cv.CV_RGB(0,0,255), 1, cv.CV_AA, 0);
# Show image. HighGUI use.
highgui.cvShowImage( "Result", image04 );
