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