93 lines
2.3 KiB
Python
93 lines
2.3 KiB
Python
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#!/usr/bin/env python
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'''
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Coherence-enhancing filtering example
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=====================================
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inspired by
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Joachim Weickert "Coherence-Enhancing Shock Filters"
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http://www.mia.uni-saarland.de/Publications/weickert-dagm03.pdf
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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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if PY3:
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xrange = range
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import numpy as np
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import cv2 as cv
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def coherence_filter(img, sigma = 11, str_sigma = 11, blend = 0.5, iter_n = 4):
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h, w = img.shape[:2]
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for i in xrange(iter_n):
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print(i)
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gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
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eigen = cv.cornerEigenValsAndVecs(gray, str_sigma, 3)
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eigen = eigen.reshape(h, w, 3, 2) # [[e1, e2], v1, v2]
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x, y = eigen[:,:,1,0], eigen[:,:,1,1]
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gxx = cv.Sobel(gray, cv.CV_32F, 2, 0, ksize=sigma)
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gxy = cv.Sobel(gray, cv.CV_32F, 1, 1, ksize=sigma)
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gyy = cv.Sobel(gray, cv.CV_32F, 0, 2, ksize=sigma)
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gvv = x*x*gxx + 2*x*y*gxy + y*y*gyy
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m = gvv < 0
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ero = cv.erode(img, None)
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dil = cv.dilate(img, None)
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img1 = ero
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img1[m] = dil[m]
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img = np.uint8(img*(1.0 - blend) + img1*blend)
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print('done')
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return img
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def main():
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import sys
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try:
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fn = sys.argv[1]
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except:
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fn = 'baboon.jpg'
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src = cv.imread(cv.samples.findFile(fn))
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def nothing(*argv):
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pass
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def update():
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sigma = cv.getTrackbarPos('sigma', 'control')*2+1
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str_sigma = cv.getTrackbarPos('str_sigma', 'control')*2+1
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blend = cv.getTrackbarPos('blend', 'control') / 10.0
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print('sigma: %d str_sigma: %d blend_coef: %f' % (sigma, str_sigma, blend))
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dst = coherence_filter(src, sigma=sigma, str_sigma = str_sigma, blend = blend)
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cv.imshow('dst', dst)
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cv.namedWindow('control', 0)
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cv.createTrackbar('sigma', 'control', 9, 15, nothing)
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cv.createTrackbar('blend', 'control', 7, 10, nothing)
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cv.createTrackbar('str_sigma', 'control', 9, 15, nothing)
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print('Press SPACE to update the image\n')
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cv.imshow('src', src)
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update()
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while True:
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ch = cv.waitKey()
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if ch == ord(' '):
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update()
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if ch == 27:
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break
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print('Done')
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if __name__ == '__main__':
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print(__doc__)
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main()
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cv.destroyAllWindows()
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