opencv-python SimpleBlobDetector 斑点检测代码

下面是一个完整的OpenCV-Python实现的SimpleBlobDetector斑点检测的示例代码：

import cv2

# 读入图像
image = cv2.imread('test.png', cv2.IMREAD_GRAYSCALE)
if image is None:
    print('Failed to read image.')
    exit()

# 创建SimpleBlobDetector对象并设置参数
params = cv2.SimpleBlobDetector_Params()
params.minThreshold = 10
params.maxThreshold = 200
params.filterByArea = True
params.minArea = 100
params.maxArea = 10000
detector = cv2.SimpleBlobDetector_create(params)

# 进行斑点检测
keypoints = detector.detect(image)

# 绘制检测到的斑点并显示结果
result = cv2.drawKeypoints(image, keypoints, None, (0, 0, 255), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
cv2.imshow('Result', result)
cv2.waitKey(0)

在运行代码之前，需要将`test.png`替换成实际的图像文件路径。如果图像读入失败，程序会输出错误信息并退出。运行成功后，会显示检测到的斑点并等待用户按下任意按键退出程序。