在寻找轮廓前,采用阈值或 canny 边缘检测.
cv2.findContours 函数在原图进行修改
Opencv中, cv2.findContours 类似于从黑色背景中寻找白色物体,因此,二值图中待寻找的物体应为白色...,背景应为黑色
示例 - 寻找二值图的轮廓
import numpy as np
import cv2
im = cv2.imread('test.jpg')
imgray = cv2.cvtColor...每个单独的contour是包括物体边界点的(x,y)坐标的Numpy 数组....的左上角坐标, (w,h)是width和height
img = cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
5.2 Rotated Rectangle...area = cv2.contourArea(cnt)
hull = cv2.convexHull(cnt)
hull_area = cv2.contourArea(hull)
solidity = float