如何使用opencv在视频上使用Canny边缘检测来减少闪烁并显示更粗的线条？

import cv2
import numpy as np

cap = cv2.VideoCapture('video.mp4')

fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('output.avi', fourcc, 20.0, (640, 480))

while(cap.isOpened()):
    ret, frame = cap.read()
    if not ret:
        break
    
    # 将帧转换为灰度图像
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    
    # 使用Canny边缘检测算法
    edges = cv2.Canny(gray, 50, 150)
    
    # 对边缘进行膨胀操作，使线条更粗
    dilated_edges = cv2.dilate(edges, None, iterations=2)
    
    # 在原始帧上绘制边缘
    frame[dilated_edges != 0] = [0, 255, 0]
    
    # 显示处理后的帧
    cv2.imshow('frame', frame)
    
    # 将处理后的帧写入输出视频文件
    out.write(frame)
    
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
out.release()
cv2.destroyAllWindows()