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edge_detection.py
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edge_detection.py
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# OpenCV program Edge detection in real time
# import libraries of python OpenCV
# where its functionality resides
import cv2
import matplotlib.pyplot as plt
from matplotlib.pyplot import *
import numpy as np
import random
# np is an alias pointing to numpy library
import numpy as np
# capture frames from a camera
cap = cv2.VideoCapture(0)
# loop runs if capturing has been initialized
while(1):
# reads frames from a camera
ret, frame = cap.read()
# converting BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# define range of red color in HSV
lower_red = np.array([30,150,50])
upper_red = np.array([255,255,180])
# create a red HSV colour boundary and
# threshold HSV image
mask = cv2.inRange(hsv, lower_red, upper_red)
# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)
# Display an original image
cv2.imshow('Original',frame)
# finds edges in the input image image and
# marks them in the output map edges
#laplacien
k_lap_positif = np.array(([0,1,0],[1,-4,1],[0,1,0]),np.float32)
k_lap_negatif = np.array(([0,-1,0],[-1,4,-1],[0,-1,0]),np.float32)
#filter2d
output_k_lap_positif = cv2.filter2D(cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY),-1,k_lap_positif)
output_k_lap_negatif = cv2.filter2D(cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY),-1,k_lap_negatif)
#Prewitt’s
kprewitt_x = np.array(([1,0,-1],[1,0,-1],[1,0,-1]),np.float32)
kprewitt_y = np.array(([1,1,1],[0,0,0],[-1,-1,-1]),np.float32)
#filter2d
output_kprewitt_x = cv2.filter2D(cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY),-1,kprewitt_x)
output_kprewitt_y = cv2.filter2D(cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY),-1,kprewitt_y)
#Canny
# Display edges in a frame
edges = cv2.Canny(frame,100,200)
#display
cv2.imshow('laplacien positif',output_k_lap_positif)
cv2.imshow('laplacien negatif',output_k_lap_negatif)
cv2.imshow('laplacien prewit x',output_kprewitt_x)
cv2.imshow('laplacien prewit y',output_kprewitt_y)
cv2.imshow('Canny ',edges)
# Wait for Esc key to stop
k = cv2.waitKey(5) & 0xFF
if k == 27:
break
# Close the window
cap.release()
# De-allocate any associated memory usage
cv2.destroyAllWindows()
#rida_benbouziane