在Python中删除小的黑色轮廓/不需要的轮廓

import cv2
import numpy as np

image = cv2.imread('image.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

ret, thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)

contours, hierarchy = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
filtered_contours = []
for contour in contours:
    area = cv2.contourArea(contour)
    if area > threshold_area:  # 设置面积阈值，过滤掉小的轮廓
        filtered_contours.append(contour)

new_image = np.zeros_like(image)
cv2.drawContours(new_image, filtered_contours, -1, (255, 255, 255), thickness=cv2.FILLED)

cv2.imshow('Result', new_image)
cv2.waitKey(0)
cv2.destroyAllWindows()
cv2.imwrite('result.jpg', new_image)