Example of Python-OpenCV Implementation for Image Defect Detection

import cv2
import numpy
from PIL import Image, ImageDraw, ImageFont

# Used to add Chinese characters to images
def ImgText_CN(img, text, left, top, textColor=(0, 255, 0), textSize=20):
    if (isinstance(img, )):  # Determine if it is an OpenCV image type
        img = ((img, cv2.COLOR_BGR2RGB))
    draw = (img)
    fontText = ("font/", textSize, encoding="utf-8")
    ((left, top), text, textColor, font=fontText)
return ((img), cv2.COLOR_RGB2BGR)

#Read the original image
image0=("")
("image0", image0)
# Grayscale conversion
gray0 = (image0, cv2.COLOR_RGB2GRAY)
("gray0", gray0)for i in range(1,6):
    img0=(str(i)+".bmp")#Original picture
    img=((str(i)+".bmp"),cv2.COLOR_RGB2GRAY)# Grayscale map
    # Use the calcHist() function to calculate a histogram reflecting the distribution of gray values
    hist = ([gray0], [0], None, [256], [0.0,255.0])
    h1 = ([img], [0], None, [256], [0.0,255.0]) 
    #Calculate image similarity
    result = (hist,h1,method=cv2.HISTCMP_BHATTACHARYYA)#Barometer distance comparison, the smaller the value the higher the correlation, the maximum value is 1 and the minimum value is 0
    #print(result)
    #Set the threshold to 0.1, if the similarity is less than 0.1 then it is qualified, otherwise it is not qualified
    if result <0.1:
        detect=ImgText_CN(img0, 'Qualified', 10, 10, textColor=(255, 0, 0), textSize=30)
    else:
        detect=ImgText_CN(img0, 'Failed', 10, 10, textColor=(255, 0, 0), textSize=30)
    ("Detect_" +str(i),detect)
(0)