def test():
#start = time.time()
#
src1 = cv.LoadImage("target_all_nl1.png", 0)
src2 = cv.LoadImage("target_all.png", 0)
# crop area
pt1 = (100, 100)
pt2 = (200, 200)
#get img size and compare
# convert cvMat to IplImage
crop1 = cv.GetImage(src1[pt1[1]:pt2[1], pt1[0]:pt2[0]])
crop2 = cv.GetImage(src2[pt1[1]:pt2[1], pt1[0]:pt2[0]])
# save image
cv.SaveImage("c1.jpg", crop1)
cv.SaveImage("c2.jpg", crop2)
print type(crop2)
print type(src2)
#cv2.GetMat
# compute
hist1 = compute_histogram(crop1)
hist2 = compute_histogram(crop2)
# compare
sc = cv.CompareHist(hist1, hist2, cv.CV_COMP_CHISQR)
print sc
def test():
#start = time.time()
#
src1 = cv.LoadImage("all.png", 0)
src2 = cv.LoadImage("dark3.png", 0)
# crop area
w = 100
pt1 = (535, 60)
pt2 = (pt1[0] + w, pt1[1] + w)
print pt1
print pt2
#get img size and compare
# convert cvMat to IplImage
crop1 = src1[pt1[1]:pt2[1], pt1[0]:pt2[0]]
crop2 = src2[pt1[1]:pt2[1], pt1[0]:pt2[0]]
crop3 = cv.GetImage(cv.GetSubRect(src1, (10, 10, 100, 100)))
crop4 = cv.GetImage(cv.GetSubRect(src2, (10, 10, 100, 100)))
# save image
cv.SaveImage("c01.jpg", crop1)
cv.SaveImage("c02.jpg", crop2)
cv.SaveImage("c03.jpg", crop3)
cv.SaveImage("c04.jpg", crop4)
print type(src1)
print type(crop3)
#cv2.GetMat
# compute
#return 1
hist1 = compute_histogram(crop3)
hist2 = compute_histogram(crop4)
# compare
sc = cv.CompareHist(hist1, hist2, cv.CV_COMP_CHISQR)
print sc
def test():
#start = time.time()
src1 = cv.GetMat(cv.LoadImage("d1.png", 0))
src2 = cv.GetMat(cv.LoadImage("d2.png", 0))
pt1 = (100, 100)
pt2 = (200, 200)
crop1 = src1[pt1[1]:pt2[1], pt1[0]:pt2[0]]
crop2 = src2[pt1[1]:pt2[1], pt1[0]:pt2[0]]
#cv2.GetMat
hist1 = compute_histogram(crop1)
hist2 = compute_histogram(crop2)
sc = cv.CompareHist(hist1, hist2, cv.CV_COMP_CHISQR)
print sc
def imgcompare(image1, image2):
img1 = cv.LoadImage(image1)
hist1 = createHist(img1)
img2 = cv.LoadImage(image2)
hist2 = createHist(img2)
return cv.CompareHist(hist1, hist2, cv.CV_COMP_CORREL)
def compare_ref(self, polygon):
'''Compare new polygon against the reference polygon histogram'''
(image, mask) = self.get_working()
return cv.CompareHist(self.ref_hist, hs_histogram(image, mask),
cv.CV_COMP_CORREL)