如何使用OpenCV仅获取图像中的中心对象？

import cv2
import numpy as np

def get_center_object(image_path):
    # 读取图像
    image = cv2.imread(image_path)
    if image is None:
        raise ValueError("Image not found or unable to read")

    # 转换为灰度图像
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    # 应用高斯模糊以减少噪声
    blurred = cv2.GaussianBlur(gray, (11, 11), 0)

    # 使用Canny边缘检测
    edges = cv2.Canny(blurred, 50, 150)

    # 查找轮廓
    contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    if not contours:
        raise ValueError("No contours found")

    # 找到最大的轮廓（假设中心对象是最大的）
    largest_contour = max(contours, key=cv2.contourArea)

    # 计算轮廓的中心点
    M = cv2.moments(largest_contour)
    if M["m00"] == 0:
        raise ValueError("Contour area is zero")
    cx = int(M["m10"] / M["m00"])
    cy = int(M["m01"] / M["m00"])

    # 在原图上绘制中心点
    cv2.circle(image, (cx, cy), 5, (0, 255, 0), -1)

    # 显示结果
    cv2.imshow("Center Object", image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    return cx, cy

# 使用示例
image_path = "path_to_your_image.jpg"
center_x, center_y = get_center_object(image_path)
print(f"Center of the object is at: ({center_x}, {center_y})")