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Added active contour model
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import numpy as np
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from skimage import data
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from skimage.color import rgb2gray
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from skimage.filters import gaussian_filter, sobel
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from skimage.segmentation import active_contour_model
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from numpy.testing import assert_equal, assert_allclose, assert_raises
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def periodic_reference_test():
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img = data.astronaut()
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img = rgb2gray(img)
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s = np.linspace(0,2*np.pi,400)
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x = 220 + 100*np.cos(s)
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y = 100 + 100*np.sin(s)
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init = np.array([x, y]).T
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snake = active_contour_model(gaussian_filter(img,3), init,
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alpha=0.015, beta=10, w_line=0, w_edge=1, gamma=0.001)
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refx = [299, 298, 298, 298, 298, 297, 297, 296, 296, 295]
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refy = [98, 99, 100, 101, 102, 103, 104, 105, 106, 108]
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assert_equal(np.array(snake[:10,0], dtype=np.int32), refx)
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assert_equal(np.array(snake[:10,1], dtype=np.int32), refy)
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def fixed_reference_test():
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img = data.text()
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x = np.linspace(5,424,100)
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y = np.linspace(136,50,100)
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init = np.array([x, y]).T
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snake = active_contour_model(gaussian_filter(img,1), init, bc='fixed',
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alpha=0.1, beta=1.0, w_line=-5, w_edge=0, gamma=0.1)
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refx = [5, 9, 13, 17, 21, 25, 30, 34, 38, 42]
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refy = [136, 135, 134, 133, 132, 131, 129, 128, 127, 125]
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assert_equal(np.array(snake[:10,0], dtype=np.int32), refx)
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assert_equal(np.array(snake[:10,1], dtype=np.int32), refy)
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def free_reference_test():
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img = data.text()
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x = np.linspace(5,424,100)
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y = np.linspace(70,40,100)
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init = np.array([x, y]).T
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snake = active_contour_model(gaussian_filter(img,3), init, bc='free',
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alpha=0.1, beta=1.0, w_line=-5, w_edge=0, gamma=0.1)
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refx = [10, 13, 16, 19, 23, 26, 29, 32, 36, 39]
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refy = [76, 76, 75, 74, 73, 72, 71, 70, 69, 69]
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assert_equal(np.array(snake[:10,0], dtype=np.int32), refx)
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assert_equal(np.array(snake[:10,1], dtype=np.int32), refy)
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def RGB_test():
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img = gaussian_filter(data.text(),1)
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imgR = np.zeros((img.shape[0],img.shape[1],3))
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imgG = np.zeros((img.shape[0],img.shape[1],3))
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imgRGB = np.zeros((img.shape[0],img.shape[1],3))
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imgR[:,:,0] = img
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imgG[:,:,1] = img
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imgRGB[:,:,:] = img[:, :, None]
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x = np.linspace(5,424,100)
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y = np.linspace(136,50,100)
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init = np.array([x, y]).T
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snake = active_contour_model(imgR, init, bc='fixed',
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alpha=0.1, beta=1.0, w_line=-5, w_edge=0, gamma=0.1)
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refx = [5, 9, 13, 17, 21, 25, 30, 34, 38, 42]
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refy = [136, 135, 134, 133, 132, 131, 129, 128, 127, 125]
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assert_equal(np.array(snake[:10,0], dtype=np.int32), refx)
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assert_equal(np.array(snake[:10,1], dtype=np.int32), refy)
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snake = active_contour_model(imgG, init, bc='fixed',
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alpha=0.1, beta=1.0, w_line=-5, w_edge=0, gamma=0.1)
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assert_equal(np.array(snake[:10,0], dtype=np.int32), refx)
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assert_equal(np.array(snake[:10,1], dtype=np.int32), refy)
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snake = active_contour_model(imgRGB, init, bc='fixed',
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alpha=0.1, beta=1.0, w_line=-5/3., w_edge=0, gamma=0.1)
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assert_equal(np.array(snake[:10,0], dtype=np.int32), refx)
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assert_equal(np.array(snake[:10,1], dtype=np.int32), refy)
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def end_points_tests():
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img = data.astronaut()
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img = rgb2gray(img)
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s = np.linspace(0,2*np.pi,400)
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x = 220 + 100*np.cos(s)
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y = 100 + 100*np.sin(s)
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init = np.array([x, y]).T
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snake = active_contour_model(gaussian_filter(img,3), init,
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bc='periodic', alpha=0.015, beta=10, w_line=0, w_edge=1, gamma=0.001,
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max_iterations=100)
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assert np.sum(np.abs(snake[0,:]-snake[-1,:]) ) < 2
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snake = active_contour_model(gaussian_filter(img,3), init,
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bc='free', alpha=0.015, beta=10, w_line=0, w_edge=1, gamma=0.001,
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max_iterations=100)
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assert np.sum(np.abs(snake[0,:]-snake[-1,:])) > 2
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snake = active_contour_model(gaussian_filter(img,3), init,
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bc='fixed', alpha=0.015, beta=10, w_line=0, w_edge=1, gamma=0.001,
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max_iterations=100)
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assert_allclose(snake[0,:], [x[0], y[0]], atol=1e-5)
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def bad_input_tests():
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img = np.zeros((10, 10))
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x = np.linspace(5, 424, 100)
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y = np.linspace(136, 50, 100)
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init = np.array([x, y]).T
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np.testing.assert_raises(ValueError, active_contour_model, img, init,
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bc='wrong')
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np.testing.assert_raises(ValueError, active_contour_model, img, init,
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max_iterations=-15)
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if __name__ == "__main__":
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np.testing.run_module_suite()
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