我正在使用Canny边缘检测器来检测白色背景上的物体,并想在其周围绘制一个矩形和一个圆形。我可以获取边界矩形的坐标,但无法获取OpenCV函数minAreaRect
和minEnclosingCircle
的坐标。
import cv2
import numpy as np
img = cv2.imread(image.path, 0)
edges = cv2.Canny(img, 100, 200)
#Bounding Rectangle works
x, y, w, h = cv2.boundingRect(edges)
#This does not work
(x,y),radius = cv2.minEnclosingCircle(edges)
#This also does not work
rect = cv2.minAreaRect(edges)
错误:
Traceback (most recent call last): File "/home/hschneider/workspace/onspiration/website/venv/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 3296, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "<ipython-input-28-f9e34ac01335>", line 1, in <module> cv2.minEnclosingCircle(edges) cv2.error: OpenCV(4.1.0) /io/opencv/modules/imgproc/src/shapedescr.cpp:160: error: (-215:Assertion failed) count >= 0 && (depth == CV_32F || depth == CV_32S) in function 'minEnclosingCircle'
我猜是因为Canny边缘检测器的结果格式错误,但我找不到如何对其进行转换以使其起作用的方法。
答案 0 :(得分:2)
这些功能之间的区别在于boundingRect
适用于图像,而minEnclosingCircle
和minAreaRect
适用于2D点集。要从Canny
的输出中获取一个点集,可以按照this tutorial中的建议,我们findCountours
:
# im2, contours, hierarchy = cv.findContours(thresh, 1, 2) # OpenCV 3.x
contours, hierarchy = cv.findContours(thresh, 1, 2) # OpenCV 4.x
cnt = contours[0]
rect = cv.minAreaRect(cnt)
(x,y),radius = cv.minEnclosingCircle(cnt)