def find_valid_pixels(mDataTrain): # find valid pixels mThresh = 0.75 mm = mDataTrain > mThresh strel = selem.disk(5) mm = binary.binary_dilation(mm, strel) mm = morphology.remove_small_objects(mm, 1000, 4) pixValid = mm[mm > 0] return pixValid
def find_valid_pixels(mDataTrain):
# find valid pixels
mThresh = 0.75
mm = mDataTrain > mThresh
strel = selem.disk(5)
mm = binary.binary_dilation(mm, strel)
mm = morphology.remove_small_objects(mm, 1000, 4)
pixValid = mm[mm > 0]
return pixValid
def test_binary_dilation():
strel = selem.square(3)
binary_res = binary.binary_dilation(bw_img, strel)
grey_res = img_as_bool(grey.dilation(bw_img, strel))
testing.assert_array_equal(binary_res, grey_res)
def test_binary_dilation():
strel = selem.square(3)
binary_res = binary.binary_dilation(bw_img, strel)
gray_res = img_as_bool(gray.dilation(bw_img, strel))
testing.assert_array_equal(binary_res, gray_res)
def test_binary_dilation():
footprint = morphology.square(3)
binary_res = binary.binary_dilation(bw_img, footprint)
gray_res = img_as_bool(gray.dilation(bw_img, footprint))
assert_array_equal(binary_res, gray_res)
def test_binary_dilation():
strel = selem.square(3)
binary_res = binary.binary_dilation(bw_img, strel)
with expected_warnings(['precision loss']):
grey_res = img_as_bool(grey.dilation(bw_img, strel))
testing.assert_array_equal(binary_res, grey_res)
def test_binary_dilation():
strel = selem.square(3)
binary_res = binary.binary_dilation(bw_lena, strel)
grey_res = grey.dilation(bw_lena, strel)
testing.assert_array_equal(binary_res, grey_res)