在Python中去除阈值图像中的小轮廓和噪声

import cv2
import numpy as np

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

_, threshold = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)

contours, _ = cv2.findContours(threshold, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

filtered_contours = []
for contour in contours:
    area = cv2.contourArea(contour)
    if area > 100:  # 设置面积阈值，根据实际情况调整
        filtered_contours.append(contour)

result = np.zeros_like(image)
cv2.drawContours(result, filtered_contours, -1, (0, 255, 0), 2)

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