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import numpy as np
#------------------------------------------------------------
# Load original image
image_original = cv2.imread('17lp.bmp', cv2.IMREAD_GRAYSCALE)
#------------------------------------------------------------
# Setting up parameters and default values for variables
# Setup SimpleBlobDetector parameters
params = cv2.SimpleBlobDetector_Params()
# Change thresholds
params.minThreshold = 10
params.maxThreshold = 200
# Filter by Area.
params.filterByArea = True
params.minArea = 50
# Filter by Circularity
params.filterByCircularity = True
params.minCircularity = 0.5
# Filter by Convexity
params.filterByConvexity = True
params.minConvexity = 0.87
# Filter by Inertia
params.filterByInertia = True
params.minInertiaRatio = 0.5
# Setup Canny parameters
canny_lower_threshold = 40
canny_higher_threshold = 80
#------------------------------------------------------------
# Prepare windows for result displaying
cv2.namedWindow('Calibration')
cv2.createTrackbar("Lower threshold", 'Calibration', canny_lower_threshold, 255, set_canny_lower_threshold)
cv2.createTrackbar("Higher threshold", 'Calibration', canny_higher_threshold, 255, set_canny_higher_threshold)
#------------------------------------------------------------
# Define callbacks for trackbars
def set_canny_lower_threshold(new_canny_lower_threshold):
canny_lower_threshold = new_canny_lower_threshold
find_reflections()
def set_canny_higher_threshold(new_canny_higher_threshold):
canny_higher_threshold = new_canny_higher_threshold
find_reflections()
#------------------------------------------------------------
# Define function that searches reflections on image
# We will detect edges using Canny, then find contours on Canny and
# draw them with black (0,0,0) thick (3pt) lines
def find_reflections():
image = image_original.copy()
edges = cv2.Canny(image,canny_lower_threshold, canny_higher_threshold)
contours, hierarchy = cv2.findContours(edges, cv2.RETR_LIST, cv2.CHAIN_APPROX_TC89_KCOS)
cv2.drawContours(image, contours, -1, (0,0,0), 3)
# Create a detector with the parameters
detector = cv2.SimpleBlobDetector(params)
keypoints = detector.detect(image)
image_with_keypoints = cv2.drawKeypoints(image_original.copy(), keypoints, np.array([]), (0,255,0), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
cv2.imshow('Calibration', image_with_keypoints)
cv2.waitKey(0)
find_reflections()
|
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