from skimage import feature
from skimage.morphology import disk
from skimage.morphology import erosion, dilation
import edge_detection as ed
parser = argparse.ArgumentParser(
description='Shows additional sampling points for the given picture')
parser.add_argument('filename',
help='file with image',
default='pic1.jpg',
nargs='?')
args = parser.parse_args()
print(args.filename)
im = ndi.imread(args.filename)
img = rgb2gray(im)
img_dark = ed.find_dark_regions(img)
img_edges = ed.find_edges(img)
img = img_dark + img_edges
# display results
fig = plt.figure()
ax0 = fig.add_subplot(111)
ax0.imshow(img, cmap=plt.cm.gray)
ax0.axis('off')
ax0.set_title('Sobel filter', fontsize=12)
plt.tight_layout()
plt.show()
import matplotlib.pyplot as plt
from scipy import ndimage as ndi
from skimage.color import rgb2gray
from skimage import feature
from skimage.morphology import disk
from skimage.morphology import erosion, dilation
import edge_detection as ed
parser = argparse.ArgumentParser(description='Shows additional sampling points for the given picture')
parser.add_argument('filename', help='file with image', default='pic1.jpg', nargs='?')
args = parser.parse_args()
print(args.filename)
im = ndi.imread(args.filename)
img = rgb2gray(im)
img_dark = ed.find_dark_regions(img)
img_edges = ed.find_edges(img)
img = img_dark + img_edges
# display results
fig = plt.figure()
ax0 = fig.add_subplot(111)
ax0.imshow(img, cmap=plt.cm.gray)
ax0.axis('off')
ax0.set_title('Sobel filter', fontsize=12)
plt.tight_layout()
plt.show()
import argparse
import numpy as np
import matplotlib.pyplot as plt
from scipy import ndimage as ndi
from skimage.color import rgb2gray
import edge_detection as ed
parser = argparse.ArgumentParser(description="Shows dark regions from the given picture")
parser.add_argument("filename", help="file with image", default="pic1.jpg", nargs="?")
parser.add_argument("threshold", help="threshold", default="0.3", nargs="?")
args = parser.parse_args()
im = ndi.imread(args.filename)
img = rgb2gray(im)
img = ed.find_dark_regions(img, threshold=float(args.threshold))
#
# plotting the result
#
fig = plt.figure()
ax0 = fig.add_subplot(111)
ax0.imshow(img, cmap=plt.cm.gray)
ax0.axis("off")
ax0.set_title("Dark regions", fontsize=12)
plt.tight_layout()
plt.show()
import argparse
import numpy as np
import matplotlib.pyplot as plt
from scipy import ndimage as ndi
from skimage.color import rgb2gray
import edge_detection as ed
parser = argparse.ArgumentParser(
description='Shows dark regions from the given picture')
parser.add_argument('filename',
help='file with image',
default='pic1.jpg',
nargs='?')
parser.add_argument('threshold', help='threshold', default='0.3', nargs='?')
args = parser.parse_args()
im = ndi.imread(args.filename)
img = rgb2gray(im)
img = ed.find_dark_regions(img, threshold=float(args.threshold))
#
# plotting the result
#
fig = plt.figure()
ax0 = fig.add_subplot(111)
ax0.imshow(img, cmap=plt.cm.gray)
ax0.axis('off')
ax0.set_title('Dark regions', fontsize=12)
plt.tight_layout()
plt.show()