FilesExpand file tree

master

/

Scanner.py

Copy path

Blame

More file actions

Blame

More file actions

Latest commit

 

History

History

History

42 lines (26 loc) · 1.29 KB

master

/

Scanner.py

Copy path

Top

File metadata and controls

• Code
• Blame

42 lines (26 loc) · 1.29 KB

Raw

Copy raw file

Download raw file

Open symbols panel

Edit and raw actions

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

import cv2

import numpy as np

import mapper

image=cv2.imread("test_img.jpg") #read in the image

image=cv2.resize(image,(1300,800)) #resizing because opencv does not work well with bigger images

orig=image.copy()

gray=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY) #RGB To Gray Scale

cv2.imshow("Title",gray)

blurred=cv2.GaussianBlur(gray,(5,5),0) #(5,5) is the kernel size and 0 is sigma that determines the amount of blur

cv2.imshow("Blur",blurred)

edged=cv2.Canny(blurred,30,50) #30 MinThreshold and 50 is the MaxThreshold

cv2.imshow("Canny",edged)

image,contours,hierarchy=cv2.findContours(edged,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE) #retrieve the contours as a list, with simple apprximation model

contours=sorted(contours,key=cv2.contourArea,reverse=True)

#the loop extracts the boundary contours of the page

for c in contours:

p=cv2.arcLength(c,True)

approx=cv2.approxPolyDP(c,0.02*p,True)

if len(approx)==4:

target=approx

break

approx=mapper.mapp(target) #find endpoints of the sheet

pts=np.float32([[0,0],[800,0],[800,800],[0,800]]) #map to 800*800 target window

op=cv2.getPerspectiveTransform(approx,pts) #get the top or bird eye view effect

dst=cv2.warpPerspective(orig,op,(800,800))

cv2.imshow("Scanned",dst)