Open Source Computer Vision Library https://opencv.org/
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#!/usr/bin/env python
'''
Morphology operations.
'''
# Python 2/3 compatibility
from __future__ import print_function
import sys
PY3 = sys.version_info[0] == 3
import numpy as np
import cv2
from tests_common import NewOpenCVTests
class morphology_test(NewOpenCVTests):
def test_morphology(self):
fn = 'samples/gpu/rubberwhale1.png'
img = self.get_sample(fn)
modes = ['erode/dilate', 'open/close', 'blackhat/tophat', 'gradient']
str_modes = ['ellipse', 'rect', 'cross']
referenceHashes = { modes[0]: '071a526425b79e45b4d0d71ef51b0562', modes[1] : '071a526425b79e45b4d0d71ef51b0562',
modes[2] : '427e89f581b7df1b60a831b1ed4c8618', modes[3] : '0dd8ad251088a63d0dd022bcdc57361c'}
def update(cur_mode):
cur_str_mode = str_modes[0]
sz = 10
iters = 1
opers = cur_mode.split('/')
if len(opers) > 1:
sz = sz - 10
op = opers[sz > 0]
sz = abs(sz)
else:
op = opers[0]
sz = sz*2+1
str_name = 'MORPH_' + cur_str_mode.upper()
oper_name = 'MORPH_' + op.upper()
st = cv2.getStructuringElement(getattr(cv2, str_name), (sz, sz))
return cv2.morphologyEx(img, getattr(cv2, oper_name), st, iterations=iters)
for mode in modes:
res = update(mode)
self.assertEqual(self.hashimg(res), referenceHashes[mode])