edge-linking-using-hough-transform'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 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.Using For loop,draw the lines on the found co-ordinates.Display the image.

Program:

Developed by : HARSHAVARDHINI M
Register num : 212221240015

# Read image and convert it to grayscale image
import cv2
import numpy as np
import matplotlib.pyplot as plt
image1=cv2.imread('music.webp',0)
img= cv2.GaussianBlur(image1,(3,3),0)
plt.imshow(img)

# Find the edges in the image using canny detector and display
edges1 = cv2.Canny(img,100,200)
plt.imshow(edges1,cmap = 'gray')
plt.title('Edge Image'), plt.xticks([]), plt.yticks([])
plt.show()

# Detect points that form a line using HoughLinesP
lines=cv2.HoughLinesP(edges1,1,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(edges1,(x1, y1),(x2, y2),(255, 0, 0),3)

# Display the result
plt.imshow(edges1)