ShafeeqAhamedS/Edge-Linking-using-Hough-Transform

Edge-Linking-using-Hough-Transform

Aim:

To write a Python program to detect the lines using Hough Transform.

Software Required:

Anaconda - Python 3.7

Algorithm:

Step1:

Import all the necessary modules for the program.

Step2:

Load a image using imread() from cv2 module.

Step3:

Convert the image to grayscale.

Step4:

Using Canny operator from cv2,detect the edges of the image.

Step5:

Using the HoughLinesP(),detect line co-ordinates for every points in the images.

Step 6

Using For loop,draw the lines on the found co-ordinates.

Step 7

Display the image.

Program:

Developed by: Shafeeq Ahamed. S
Register Number: 212221230092

Import Libraries

import cv2
import numpy as np
import matplotlib.pyplot as plt

Read Image

image=cv2.imread("road.png",1)

plt.imshow(image)
plt.title('Original')
plt.axis('off')

Convert image to grayscale

gray=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)

plt.imshow(image,cmap="gray")
plt.title('gray')
plt.axis('off')

Smoothen image using Gaussian Filter

img = cv2.GaussianBlur(src = gray, ksize = (15,15), sigmaX=0,sigmaY=0)

plt.imshow(img)
plt.title('EDGES')
plt.axis('off')

Find the edges in the image using canny detector

edges = cv2.Canny(image, 120, 150)
plt.imshow(edges)
plt.title('EDGES')
plt.axis('off')

Detect points that form a line using HoughLinesP

lines=cv2.HoughLinesP(edges,1,np.pi/180,threshold=80,minLineLength=50,maxLineGap=250)

Draw lines on the image

for line in lines:
    x1,y1,x2,y2=line[0]
    cv2.line(image,(x1,y1),(x2,y2),(0,0,205),2)

Display the result

plt.imshow(image)
plt.title('HOUGH')
plt.axis('off')

Output

Gray Scale	Gaussian Filter

Canny Edge	Hough transform

Result:

Thus the program is written with python and OpenCV to detect lines using Hough transform.