how to remove the background of a image which contains many noises and lines etc
[sample image][1]
import cv2
from PIL import Image
image = cv2.imread("1.jpg") #input image
image = cv2.fastNlMeansDenoisingColored(image,None,10,10,7,21)
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY) #to gray scale
res,thresh = cv2.threshold(gray,150,255,cv2.THRESH_BINARY_INV) #to binary using threshold
kernel = cv2.getStructuringElement(cv2.MORPH_CROSS,(3,3))
dilated = cv2.dilate(thresh,kernel,iterations = 5) #dilation operation
is there any other preprocessing operations for removing noises
_,contours, hierarchy = cv2.findContours(dilated,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE) #finding contours
print(1)
coord = []
#contours greater than or less than specified size is removed
for contour in contours:
[x,y,w,h] = cv2.boundingRect(contour)
if h>300 and w>300:
continue
if h<100 or w<100:
continue
coord.append((x,y,w,h))
count = 0
for cor in coord:
[x,y,w,h] = cor
t = image[y:y+h,x:x+w,:].astype('uint8')
cv2.adaptiveThreshold(image,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,11,2)
plt.imshow(cv2.resize(t, (150, 150)))
plt.show()
count=count+1
print("number of char in image:", count)
is there any way to remove the noises,please help
