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Commit b4d4608

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Line detection
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import cv2
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import numpy as np
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from tkinter.filedialog import *
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import tkinter as tk
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window=tk.Tk()
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window.title("Line detection using Hough transform")
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window.geometry('380x100')
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label = tk.Label(window, text="Choose an option").grid(row=0,column=0)
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# displaying a menu window for choosing transforms
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def hough():
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photo = askopenfilename()
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img = cv2.imread(photo)
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gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
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edges = cv2.Canny(gray,50,150,apertureSize=3)
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lines = cv2.HoughLines(edges,1,np.pi/180,500)
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for line in lines:
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rho,theta = line[0]
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# defining lines with the parameters returned by HoughLines()
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a=np.cos(theta)
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b=np.sin(theta)
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x0 = a*rho
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y0 = b*rho
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x1 = int(x0 + 1000*(-b))
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y1 = int(y0 + 1000*(a))
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x2 = int(x0 - 1000*(-b))
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y2 = int(y0 - 1000*(a))
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cv2.line(img,(x1,y1),(x2,y2),(0,0,255),4) # drawing lines on image to mark
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cv2.imwrite('houghlines.jpg',img)
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cv2.imshow("houghlines",img)
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cv2.waitKey(5000)
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cv2.destroyAllWindows()
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def houghP():
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photo = askopenfilename()
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img = cv2.imread(photo)
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gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
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edges = cv2.Canny(gray,50,150,apertureSize=3)
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lines = cv2.HoughLinesP(edges,1,np.pi/180,100,minLineLength=100,maxLineGap=10)
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for line in lines:
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x1,y1,x2,y2 = line[0] # endpoints are returned by HoughLinesP()
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cv2.line(img,(x1,y1),(x2,y2),(0,0,255),4) #drawing lines by joining those
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cv2.imwrite('houghlinesP.jpg',img)
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cv2.imshow("houghlinesP",img)
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cv2.waitKey(5000)
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cv2.destroyAllWindows()
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rad1 = tk.Radiobutton(window,text='Hough Transform', value=1, command=hough)
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rad2 = tk.Radiobutton(window,text='Probabilistic Hough Transform', value=2, command=houghP)
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rad1.grid(row=1,column=0)
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rad2.grid(row=2,column=0)
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label = tk.Label(window, text="Check the output image in this folder you are working in").grid(row=3,column=0)
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window.mainloop()

‎Line_Detection_HoughLine/ReadMe.md‎

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# Line detection
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This python script will allow us to identify lines in an image depending on the user's choice to select one of the two options: HoughTransform and Probabilistic HoughTransform
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## Setup Instructions
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### Install python3
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sudo apt-get install python3
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### Install pip (package installer for python)
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sudo apt-get install python3-pip
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### Install Numpy library with pip
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pip3 install numpy
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### Install OpenCV library with pip
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pip3 install opencv-python
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### Install tkinter library
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sudo apt-get install python3-tk
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## Details/Output
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A dialog box appears with two transform options, hough transform and probabilistic hough transform.
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Selecting any one option prompts user to select an image and detects lines in it using the selected transform.
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The output image is written/stored in the current folder.
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## Author
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Github: invigorzz313

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