2.1 KiB
2.1 KiB
Documentation for example/example_code.py
remove_dirt(image)
This function removes small elements from an image using area closing morphological operation.
Example:
# Import the required module
from skimage import morphology
# Load the image
image = skimage.io.imread('image.jpg')
# Apply the function to remove small elements from the image
image = remove_dirt(image)
# Show the result
skimage.io.imshow(image)
calculate_area(countour)
This function calculates the area of a contour in an image.
Example:
# Import the required modules
import cv2 as cv
import numpy as np
# Load the image and find the contours
image = cv.imread('image.jpg')
contours, _ = cv.findContours(image, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_SIMPLE)
# Iterate over the contours and calculate their areas
for contour in contours:
area = calculate_area(contour)
print('Area of contour:', area)
center_of_mass(X)
This function calculates the center of mass of a set of points.
Example:
import numpy as np
# Define a set of points
X = np.array([[1,2], [3,4], [5,6]])
# Calculate the center of mass of the points
center = center_of_mass(X)
# Print the result
print('Center of mass:', center)
The output will be Center of mass: [3. 4.]
.
center_of_mass(X)
This function calculates the center of mass of a set of points.
Example:
import numpy as np
# Define a set of points
X = np.array([[1,2], [3,4], [5,6]])
# Calculate the center of mass of the points
center = center_of_mass(X)
# Print the result
print('Center of mass:', center)
The output will be Center of mass: [3. 4.]
.
rg_ratio_normalize(imgarr)
This function normalizes the temperature values in an image array using the RG ratio and a pyrometry calibration formula.
Example:
# Import the required modules
import numpy as np
# Load the image array
imgarr = np.array(...)
# Normalize the temperature values in the image
imgnew, tmin, tmax = rg_ratio_normalize(imgarr)
# Print the resulting minimum and maximum temperature values
print('Minimum temperature:', tmin)
print('Maximum temperature:', tmax)