python联通多边形
时间: 2023-10-15 12:25:26 浏览: 47
要在Python中计算连通多边形,可以使用OpenCV库的connectedComponentsWithStats函数。这个函数接受一个二值图像作为输入,然后计算出图像中的连通区域数量、标签图和每个连通区域的统计信息。下面是一个示例代码:
```python
import cv2
import numpy as np
if __name__ == '__main__':
image = np.zeros((640, 640)).astype(np.uint8)
# 绘制圆形
image = cv2.circle(image, (100, 100), 50, 255, -1)
# 绘制多边形
points = [[200, 200], [300, 100], [400, 400], [250, 300]]
cv2.fillPoly(image, np.array([points]), 255, cv2.LINE_AA)
# 绘制矩形
cv2.rectangle(image, (200,500), (500, 600), 255, -1)
cv2.imshow('image', image)
# 计算连通区域
num_labels, labels, stats, centroids = cv2.connectedComponentsWithStats(image)
print('num_labels: ', num_labels)
# 绘制连通区域的外接矩形
labels = 255
labels = labels.astype(np.uint8)
labels = np.expand_dims(labels, axis=2).repeat(3, axis=2).astype(np.uint8)
for st in stats + st + st<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [opencv+python取某区域中心点](https://blog.csdn.net/m0_62769256/article/details/121848170)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [Python opencv连通域](https://blog.csdn.net/suiyingy/article/details/126627295)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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