ImgLab-2-(25-9-24)

Filter.py
import matplotlib.pyplot as plt
from skimage import data, filters


image = data.coins()

edges = filters.sobel(image)
plt.imshow(edges, cmap='gray')
plt.show()



FilterCanny.py
import numpy as np
import cv2
img = cv2.imread('peter.jpg')
t_lower = 50
t_upper = 100
apenture_size= 5
edge = cv2.Canny(img,t_lower,t_upper,apenture_size)

cv2.imshow('Original image',img)
cv2.imshow('Edge image',edge)
cv2.waitKey(0)
cv2.destroyAllWindows()

Prewitt / Robert is Homework
import numpy as np
import cv2
from skimage.filters import prewitt, roberts
from skimage import io, color

# Load the image
img = cv2.imread('peter.png')

# Convert the image to grayscale (Prewitt and Roberts work on grayscale)
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# Perform Prewitt edge detection
prewitt_edges = prewitt(gray_img)

# Perform Roberts edge detection
roberts_edges = roberts(gray_img)

# Display the results
cv2.imshow('Original Image', gray_img)
cv2.imshow('Prewitt Edge Detection', prewitt_edges)
cv2.imshow('Roberts Edge Detection', roberts_edges)

cv2.waitKey(0)
cv2.destroyAllWindows()