28 lines
808 B
Python
28 lines
808 B
Python
|
import cv2
|
||
|
|
|
||
|
|
img = cv2.imread('demo-hand-written.png')
|
||
|
|
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
|
||
|
|
|
||
|
|
thresh_inv = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)[1]
|
||
|
|
|
||
|
|
# Blur the image
|
||
|
|
blur = cv2.GaussianBlur(thresh_inv,(1,1),0)
|
||
|
|
|
||
|
|
thresh = cv2.threshold(blur, 0, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU)[1]
|
||
|
|
|
||
|
|
# find contours
|
||
|
|
contours = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[0]
|
||
|
|
|
||
|
|
mask = np.ones(img.shape[:2], dtype="uint8") * 255
|
||
|
|
for c in contours:
|
||
|
|
# get the bounding rect
|
||
|
|
x, y, w, h = cv2.boundingRect(c)
|
||
|
|
if w*h>1000:
|
||
|
|
cv2.rectangle(mask, (x, y), (x+w, y+h), (0, 0, 255), -1)
|
||
|
|
|
||
|
|
res_final = cv2.bitwise_and(img, img, mask=cv2.bitwise_not(mask))
|
||
|
|
|
||
|
|
cv2.imshow("boxes", mask)
|
||
|
|
cv2.imshow("final image", res_final)
|
||
|
|
cv2.waitKey(0)
|
||
|
|
cv2.destroyAllWindows()
|