num_labels, labels, stats, centroids = cv2.connectedComponentsWithStats(th2, connectivity=8)
时间: 2024-05-27 18:14:04 浏览: 8
This line of code uses the function `cv2.connectedComponentsWithStats()` from the OpenCV library to perform connected component analysis on a binary image `th2`. Connected component analysis is a method of grouping together pixels that belong to the same object in an image.
The function returns four outputs:
- `num_labels`: the number of connected components found in the image
- `labels`: a matrix that assigns a unique label to each pixel in the input image, indicating which connected component it belongs to
- `stats`: a matrix that contains statistics for each connected component, such as its area, centroid, and bounding box coordinates
- `centroids`: a matrix that contains the centroid coordinates for each connected component
The parameter `connectivity` specifies the connectivity used in the analysis. A value of 8 means that pixels are considered connected if they share a corner or an edge.
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