Implementation-of-filter

Aim:

To implement filters for smoothing and sharpening the images in the spatial domain.

Software Required:

Anaconda - Python 3.7

Algorithm:

step1 :- Import the required modules.

Step2 :- Convert the image from BGR to RGB.

Step3:- Apply the required filters for the image separately.

Step4:- Plot the original and filtered image by using matplotlib.pyplot

Step5:- End the program.

Program:

Developed By : M Gautham

Register Number: 212221230027

1. Smoothing Filters

i) Using Averaging Filter

import cv2
import numpy as np
import matplotlib.pyplot as plt
image = cv2.imread("car.jpg")
original_image = cv2.cvtColor(image,cv2.COLOR_BGR2RGB)

kernel1 = np.ones((11,11),np.float32)/121
avg_filter = cv2.filter2D(original_image,-1,kernel1)
plt.figure(figsize = (9,9))
plt.subplot(1,2,1)
plt.imshow(original_image)
plt.title("Original")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(avg_filter)
plt.title("Filtered")
plt.axis("off")

ii) Using Weighted Averaging Filter

kernel2 = np.array([[1,2,1],[2,4,2],[1,2,1]])/16
weighted_filter = cv2.filter2D(original_image,-1,kernel2)
plt.figure(figsize = (9,9))
plt.subplot(1,2,1)
plt.imshow(original_image)
plt.title("Original")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(weighted_filter)
plt.title("Filtered")
plt.axis("off")

iii) Using Gaussian Filter

gaussian_blur = cv2.GaussianBlur(src = original_image, ksize = (11,11), sigmaX=0, sigmaY=0)
plt.figure(figsize = (9,9))
plt.subplot(1,2,1)
plt.imshow(original_image)
plt.title("Original")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(gaussian_blur)
plt.title("Filtered")
plt.axis("off"

iv) Using Median Filter

median = cv2.medianBlur(src=original_image,ksize = 11)
plt.figure(figsize = (9,9))
plt.subplot(1,2,1)
plt.imshow(original_image)
plt.title("Original")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(median)
plt.title("Filtered")
plt.axis("off")

2. Sharpening Filters

i) Using Laplacian Kernal

kernel3 = np.array([[0,1,0],[1,-4,1],[0,1,0]])
laplacian_kernel = cv2.filter2D(original_image,-1,kernel3)
plt.figure(figsize = (9,9))
plt.subplot(1,2,1)
plt.imshow(original_image)
plt.title("Original")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(laplacian_kernel)
plt.title("Filtered")
plt.axis("off")

ii) Using Laplacian Operator

laplacian_operator = cv2.Laplacian(original_image,cv2.CV_64F)
plt.figure(figsize = (9,9))
plt.subplot(1,2,1)
plt.imshow(original_image)
plt.title("Original")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(laplacian_operator)
plt.title("Filtered")
plt.axis("off")