I wrote a code which finds utility meter measurement result part and crops it. The problem is it does the resize of image. How can I do it without resizing and at the end I need parameters of found part of images, such as width, heith, center x and y.
import numpy as np
import cv2
import sys
from PIL import Image
import imutils
import os.path
if len(sys.argv) != 3:
print ("%s input_file output_file" , sys.argv[0])
sys.exit()
else:
input_file = sys.argv[1]
output_file = sys.argv[2]
if not os.path.isfile(input_file):
print ("No such file '%s'" , input_file)
sys.exit()
img = cv2.imread(input_file)
img = imutils.resize(img, height=500)
## Change to LAB space
lab = cv2.cvtColor(img, cv2.COLOR_BGR2LAB)
l,a,b = cv2.split(lab)
imglab = np.hstack((l,a,b))
## normalized the a channel to all dynamic range
na = cv2.normalize(a, None, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_8UC1)
## Threshold to binary
retval, threshed = cv2.threshold(na, thresh = 180, maxval=255, type=cv2.THRESH_BINARY)
## Do morphology
kernel = cv2.getStructuringElement( cv2.MORPH_ELLIPSE , (3,3))
opened = cv2.morphologyEx(threshed, cv2.MORPH_OPEN,kernel)
res = np.hstack((threshed, opened))
## Find contours
_, contours, hierarchy = cv2.findContours(opened, mode=cv2.RETR_LIST, method=cv2.CHAIN_APPROX_SIMPLE)
## Draw Contours
res = img.copy()
cv2.drawContours(res, contours, -1, (255,0,0), 10)
## Filter Contours
for idx, contour in enumerate(contours):
bbox = cv2.boundingRect(contour)
area = bbox[-1]*bbox[-2]
if area < 2150:
continue
(x, y, w, h) = cv2.boundingRect(contour)
print(x, y, w, h)
cv2.rectangle(res, (0, y), (x + w, y + h), (0, 255, 0), 4)
crop_img = img[y:y+h*2, 0:x+w]
(w, h, c) = img.shape
print(w, h)
cv2.imwrite(output_file, crop_img)
Input image is enter image description here
