【Python】OpenCV-图片差异检测与标注

import cv2
import numpy as np
 
def detect_difference(image1_path, image2_path, output_path):
    # 读取图片
    image1 = cv2.imread(image1_path, cv2.IMREAD_GRAYSCALE)
    image2 = cv2.imread(image2_path, cv2.IMREAD_GRAYSCALE)
    
    # 计算两图片之间的差异
    difference = cv2.absdiff(image1, image2)
    
    # 二值化处理，将差异图转换为二值图
    _, difference_thresh = cv2.threshold(difference, 127, 255, cv2.THRESH_BINARY)
    
    # 寻找差异区域的轮廓
    contours, _ = cv2.findContours(difference_thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    
    # 标注差异
    marked_image = cv2.imread(image1_path)
    for contour in contours:
        x, y, w, h = cv2.boundingRect(contour)
        cv2.rectangle(marked_image, (x, y), (x + w, y + h), (0, 255, 0), 2)
    
    # 保存标注后的图片
    cv2.imwrite(output_path, marked_image)
 
# 使用示例
detect_difference('image1.jpg', 'image2.jpg', 'difference.jpg')

这段代码首先定义了一个函数detect_difference，它接受两个图片路径和输出路径作为参数。然后读取这两个图片，计算它们之间的差异，并将差异图转换为二值图。接着它寻找二值图中的轮廓，并在原始图片上标注出差异区域，最后将标注后的图片保存到指定路径。