How I can corp the image or other methods so that the summation of pixels in the boundary, be less than the hole x and y position. I mean in the images below
the white hole summation x and y of the pixels must be higher in the hole position but as shown in the chart the surrounding of the image especially the x summation of pixels have the higher summation
In this way, I want to found the sum pixels that have high values and illustrate the hole pixels or coordination. In the y-axis, the summation of course so as the below better result than the x one but in some others not, of course, I crop all of 1000 image by below code then after returning the pixel data sum of them and the id and the max values than return the hole is illustrated.
img = Image.open('J:\py.pro\path\picture_1.png').convert('L') # convert image to 8-bit grayscale
if img.mode == "CMYK":
# color profiles can be found at C:\Program Files (x86)\Common Files\Adobe\Color\Profiles\Recommended
img = ImageCms.profileToProfile(img, "USWebCoatedSWOP.icc", "sRGB_Color_Space_Profile.icm", outputMode="RGB")
# PIL image -> OpenCV image; see https://stackoverflow.com/q/14134892/2202732
img = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
## (1) Convert to gray, and threshold
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
th, threshed = cv2.threshold(gray, 240, 255, cv2.THRESH_BINARY_INV)
## (2) Morph-op to remove noise
kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (10,30))
morphed = cv2.morphologyEx(threshed, cv2.MORPH_CLOSE, kernel)
## (3) Find the max-area contour
cnts = cv2.findContours(morphed, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]
cnt = sorted(cnts, key=cv2.contourArea)[-1]
## (4) Crop and save it
x,y,w,h = cv2.boundingRect(cnt)
dst = img[y:y+h, x:x+w]
# add border/padding around the cropped image
# dst = cv2.copyMakeBorder(dst, 10, 10, 10, 10, cv2.BORDER_CONSTANT, value=[255,255,255])
#cv2.imshow("J:\\py.pro\\path\\pic_1.png", dst)
cv2.imwrite("J:\\py.pro\\path\\pic_1.png", dst)
cv2.waitKey(0)
cv2.destroyAllWindows()
