edge-linking-using-hough-transformm's Introduction

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 the required modules.

Step2:

Import the image to operate on.

Step3:

Convert the imported image from BGR to GRAYSCALE.

Step4:

Find the edges using canny edge detector and display the image.

Step5:

Detect the points that form a line using hough transform.

Step6:

Draw the lines on the image

Step7:

Display the output

Step8:

End the program.

Program:

Developed By : M Gautham
Reg.No : 212221230027

# Read image and convert it to grayscale image

import numpy as np
import cv2
import matplotlib.pyplot as plt
img=cv2.imread("dodge.jpg",0)
img_c=cv2.imread("dodge.jpg",1)
img_c=cv2.cvtColor(img_c,cv2.COLOR_BGR2RGB)
gray=cv2.cvtColor(img,cv2.COLOR_GRAY2RGB)
gray = cv2.GaussianBlur(gray,(3,3),0)
plt.figure(figsize=(13,13))
plt.subplot(1,2,1)
plt.imshow(img_c)
plt.title("Original Image")
plt.axis("off")
plt.subplot(1,2,2)
plt.imshow(gray)
plt.title("Gray Image")
plt.axis("off")
plt.show()



# Find the edges in the image using canny detector and display
canny=cv2.Canny(gray,120,150)
plt.imshow(canny)
plt.title("Canny Edge Detector")
plt.axis("off")
plt.show()

# Detect points that form a line using HoughLinesP

lines=cv2.HoughLinesP(canny,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(img_c,(x1,y1),(x2,y2),(255,0,0),3)


# Display the result
plt.imshow(img_c)
plt.title("Result Image")
plt.axis("off")
plt.show()