Esempio n. 1
0
import BSpline_Snake.B_spline as B_spline
import cv2
from PIL import Image
import numpy as np
import BSpline_Snake.Snake as Snake
import matplotlib.pyplot as plot

image = cv2.imread("../test_image/test1.jpg")
plot.imshow(image)
plot.title("Original Image")
plot.show()

gray_image = np.asarray(cv2.cvtColor(image, cv2.COLOR_BGR2GRAY))
plot.imshow(gray_image, cmap='gray')
plot.title("Gray Image")
plot.show()

imagesize = (200, 200)
GVF_generator_1 = GVF.GVF_generator(gaussian_size=7,
                                    edge_threshold=0.95,
                                    gradient_smooth=3,
                                    mu=0.5,
                                    iter=1e-10)
image_edge = GVF_generator_1.edge_from_gray_image(gray_image,
                                                  output_size=imagesize)
image_GVF = GVF_generator_1.from_gray_image(image_edge,
                                            from_edge=True,
                                            verbose_interval=10,
                                            pause_time=0.0001,
                                            second_loop_break_inspect_time=10)
Esempio n. 2
0
import BSpline_Snake.GVF as GVF
import BSpline_Snake.B_spline as B_spline
import cv2
from PIL import Image
import numpy as np
import BSpline_Snake.Snake as Snake
import matplotlib.pyplot as plot
image = cv2.imread("../test_image/images.jpg")
plot.imshow(image)
plot.title("Original Image")
plot.show()

gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

plot.imshow(image, cmap='gray')
plot.title("gray_image")
plot.show()

image_size = (150, 150)
GVF_generator_1 = GVF.GVF_generator(gaussian_size=5,
                                    edge_threshold=0.50,
                                    gradient_smooth=None,
                                    mu=0.5)
image_edge = GVF_generator_1.edge_from_gray_image(gray_image,
                                                  output_size=image_size)
image_GVF = GVF_generator_1.from_gray_image(image_edge, from_edge=True)

Contour_extractor_1 = Snake.Contour_Extractor()
B_Spline_1 = Contour_extractor_1.fit_B_spline(
    image_GVF, image=gray_image, second_loop_break_inspect_time=60)
Esempio n. 3
0
import sys
sys.path.append('./')

import BSpline_Snake.GVF as GVF
import cv2
import numpy as np
import BSpline_Snake.Snake as Snake
import matplotlib.pyplot as plot

image = cv2.imread("./test_image/test1.jpg")
plot.imshow(image, origin="lower")
plot.title("Original Image")
plot.show()

gray_image = np.asarray(cv2.cvtColor(image, cv2.COLOR_BGR2GRAY))
plot.imshow(gray_image.transpose(), origin="lower", cmap='gray')
plot.title("Gray Image")
plot.show()

imagesize = (100, 100)
GVF_generator_1 = GVF.GVF_generator(gaussian_size=7,
                                    edge_threshold=0.80,
                                    gradient_smooth=3,
                                    mu=0.5)
image_edge = GVF_generator_1.edge_from_gray_image(gray_image,
                                                  output_size=imagesize)
image_GVF = GVF_generator_1.from_gray_image(image_edge, from_edge=True)

contour_extractor_1 = Snake.Contour_Extractor()
contour_extractor_1.fit_B_spline(image_GVF, image=gray_image)