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54 lines
1.5 KiB
54 lines
1.5 KiB
#!/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 as cv |
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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 = cv.getStructuringElement(getattr(cv, str_name), (sz, sz)) |
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return cv.morphologyEx(img, getattr(cv, 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]) |
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if __name__ == '__main__': |
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NewOpenCVTests.bootstrap()
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