Assignment 5: Hough transform Line and Circle
Image Link: https://drive.google.com/drive/folders/1USa7N0JCIeGGhZhkKP18-QuziOzh8riX?usp=share_link
Code Line:
import cv2
import numpy as np
img = cv2.imread('sudoku.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
edges = cv2.Canny(gray, 50, 150, apertureSize=3)
lines = cv2.HoughLines(edges, 1, np.pi / 180, 200)
for line in lines:
rho,theta = line[0]
a = np.cos(theta)
b = np.sin(theta)
x0 = a * rho
y0 = b * rho
# x1 stores the rounded off value of (r * cos(theta) - 1000 * sin(theta))
x1 = int(x0 + 1000 * (-b))
# y1 stores the rounded off value of (r * sin(theta)+ 1000 * cos(theta))
y1 = int(y0 + 1000 * (a))
# x2 stores the rounded off value of (r * cos(theta)+ 1000 * sin(theta))
x2 = int(x0 - 1000 * (-b))
# y2 stores the rounded off value of (r * sin(theta)- 1000 * cos(theta))
y2 = int(y0 - 1000 * (a))
cv2.line(img, (x1, y1), (x2, y2), (0, 0, 255), 2)
cv2.imshow('image', img)
k = cv2.waitKey(0)
cv2.destroyAllWindows()
img = cv2.imread('road.jpg') |
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) |
edges = cv2.Canny(gray,50,150,apertureSize = 3) |
lines = cv2.HoughLinesP(edges,1,np.pi/180,100,minLineLength=100,maxLineGap=10) |
for line in lines: |
x1,y1,x2,y2 = line[0] |
cv2.line(img,(x1,y1),(x2,y2),(0,255,0),2) |
cv2.imshow('image', img) |
k = cv2.waitKey(0) |
img = cv.imread('shape.png') |
output = img.copy() |
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY) |
gray = cv.medianBlur(gray, 5) |
circles = cv.HoughCircles(gray, cv.HOUGH_GRADIENT, 1, 20, |
param1=50, param2=30, minRadius=0, maxRadius=0) |
detected_circles = np.uint16(np.around(circles)) |
for (x, y ,r) in detected_circles[0, :]: |
cv.circle(output, (x, y), r, (0, 0, 0), 3) |
cv.circle(output, (x, y), 2, (0, 255, 255), 3) |
cv.imshow('output',output) |
cv.waitKey(0) |
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