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

Edge-Linking-using-Hough-Transformm

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: VAISHNAVI S
Register No: 212222230165

# Read image and convert it to grayscale image
import cv2
import numpy as np
r=cv2.imread('catt.jpg',-1)
gray=cv2.cvtColor(r,cv2.COLOR_BGR2GRAY)
img = cv2.GaussianBlur(gray,(3,3),0)
cv2.imshow('origianl',r)
cv2.waitKey(0)
cv2.destroyAllWindows()
cv2.imshow('gray',gray)
cv2.waitKey(0)
cv2.destroyAllWindows()


# Find the edges in the image using canny detector and display
canny_edges = cv2.Canny(img, 50, 120)
cv2.imshow('canny',canny_edges)
cv2.waitKey(0)
cv2.destroyAllWindows()


# Detect points that form a line using HoughLinesP
lines =cv2.HoughLinesP(canny_edges, 1, np.pi/180,threshold = 15, minLineLength =5 ,
maxLineGap = 7)



# Draw lines on the image
for line in lines:
 x1,y1,x2,y2 = line[0]
 cv2.line(r, (x1,y1),(x2,y2),(255,0,0),3)



# Display the result
cv2.imshow('hough_detected',r)
cv2.waitKey(0)
cv2.destroyAllWindows()