opencv 图片去抖

以下是使用OpenCV进行图片去抖的步骤：

1.导入必要的库和模块

import cv2
import numpy as np

2.读取视频并获取第一帧

cap = cv2.VideoCapture('video.mp4')
ret, frame = cap.read()

3.将第一帧转换为灰度图像并进行高斯模糊

gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (21, 21), 0)

4.循环读取视频中的每一帧并进行去抖处理

while True:
    ret, frame = cap.read()
    if not ret:
        break

    # 将当前帧转换为灰度图像并进行高斯模糊
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(gray, (21, 21), 0)

    # 计算当前帧与上一帧的差异，并进行阈值处理
    frame_diff = cv2.absdiff(gray, prev_gray)
    thresh = cv2.threshold(frame_diff, 25, 255, cv2.THRESH_BINARY)[1]

    # 对阈值图像进行膨胀操作
    thresh = cv2.dilate(thresh, None, iterations=2)

    # 找到轮廓并绘制矩形框
    contours, hierarchy = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    for contour in contours:
        if cv2.contourArea(contour) < 1000:
            continue
        (x, y, w, h) = cv2.boundingRect(contour)
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)

    # 显示当前帧
    cv2.imshow('frame', frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

    # 更新上一帧
    prev_gray = gray.copy()

5.释放资源并关闭窗口

cap.release()
cv2.destroyAllWindows()