I have an input image that has a mouth photo in a dark background: input image
I want only the mouth portion as output: output image
I have an input image that has a mouth photo in a dark background: input image
I want only the mouth portion as output: output image
Use https://scikit-image.org/ library. You can crop it as easy as below.
from skimage import io
image = io.imread(filename)
cropped = image[x1:x2,y1:y2]
Try this Crop black edges with OpenCV
import numpy as np
import cv2
img = cv2.imread('./data/q18.png')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
#play with parameters that all I changed in answer
_,thresh = cv2.threshold(gray,20,255,cv2.THRESH_BINARY)
# and here are 3 value returned not 2
_,contours,_ = cv2.findContours(thresh,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
cnt = contours[0]
x,y,w,h = cv2.boundingRect(cnt)
crop = img[y:y+h,x:x+w]
cv2.imwrite('./data/q18_1.png',crop)
Output:
Like this with PIL/Pillow:
#!/usr/bin/env python3
from PIL import Image
# Load image and convert to greyscale
im = Image.open('mouth.png').convert('L')
# Threshold at 40
thr = im.point(lambda p: p > 40 and 255)
# Find bounding box
bbox = thr.getbbox()
# Debug
print(bbox)
# Crop and save
result = im.crop(bbox)
result.save('result.png')
Sample Output
(70, 155, 182, 223)