SimpleBlobDetector thresholdStep=2 minCircularity=0.7 minConvexity=0.75 minInertiaRatio=0.35 minRepeatability=3代码
时间: 2024-02-25 15:55:42 浏览: 148
好的,根据您的要求,这里提供使用OpenCV中的SimpleBlobDetector算法进行斑点检测的代码示例,其中参数设置为:thresholdStep=2, minCircularity=0.7, minConvexity=0.75, minInertiaRatio=0.35, minRepeatability=3,其他参数使用默认值。
```python
import cv2
# 读取图像
img = cv2.imread('image.jpg', cv2.IMREAD_GRAYSCALE)
# 创建SimpleBlobDetector对象
params = cv2.SimpleBlobDetector_Params()
# 设置检测参数
params.thresholdStep = 2
params.minCircularity = 0.7
params.minConvexity = 0.75
params.minInertiaRatio = 0.35
params.minRepeatability = 3
# 创建检测器
detector = cv2.SimpleBlobDetector_create(params)
# 检测斑点
keypoints = detector.detect(img)
# 绘制检测结果
img_with_keypoints = cv2.drawKeypoints(img, keypoints, np.array([]), (0,0,255), cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
# 显示检测结果
cv2.imshow("Blobs", img_with_keypoints)
cv2.waitKey(0)
cv2.destroyAllWindows()
```
希望这个代码示例对您有所帮助!