def _get_grid_img(self, crop_img, elem_contour):
cnt = Contour(elem_contour)
halfbox = cnt.shrinkbox(100).astype("f")
square = self._square_coordinates(cnt.side)
trans = cv2.getPerspectiveTransform(halfbox, square)
box = cv2.warpPerspective(crop_img, trans, (cnt.side, cnt.side))
_, thresh = cv2.threshold(box, 127, 255, 0)
binary = pm.binary(thresh)
box = binary.astype(int) * 255
box = pm.edgeoff(box)
box = mh.croptobbox(box)
return box
def GradBasedSegmentation(im):
blur = nd.gaussian_filter(im, 16)
rmax = pymorph.regmax(blur)
T = mahotas.thresholding.otsu(blur)
bImg0 = im > T
# bImg01=nd.binary_closing(bImg0,iterations=2)
bImg01 = pymorph.close(bImg0, pymorph.sedisk(3))
bImg = pymorph.open(bImg01, pymorph.sedisk(4))
# bImg=nd.binary_opening(bImg01,iterations=3)
b = pymorph.edgeoff(bImg)
d = distanceTranform(b)
seeds, nr_nuclei = nd.label(rmax)
lab = mahotas.cwatershed(d, seeds)
return lab
def GradBasedSegmentation(im):
blur=nd.gaussian_filter(im, 16)
rmax = pymorph.regmax(blur)
T = mahotas.thresholding.otsu(blur)
bImg0=im>T
#bImg01=nd.binary_closing(bImg0,iterations=2)
bImg01=pymorph.close(bImg0, pymorph.sedisk(3))
bImg=pymorph.open(bImg01, pymorph.sedisk(4))
#bImg=nd.binary_opening(bImg01,iterations=3)
b=pymorph.edgeoff(bImg)
d=distanceTranform(b)
seeds,nr_nuclei = nd.label(rmax)
lab=mahotas.cwatershed(d,seeds)
return lab
