opencv-py 计算物体的外接矩阵

最新推荐文章于 2024-07-20 03:20:09 发布

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最新推荐文章于 2024-07-20 03:20:09 发布

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分类专栏： python+opencv

本文链接：https://blog.youkuaiyun.com/weixin_42512266/article/details/89575276

该博客介绍了如何利用OpenCV-Python库计算物体的外接矩阵。实验结果显示了整个过程，强调了需要配合imutils库来完成任务。

需要附加imutils

# -*- coding:utf-8 -*-
# import the necessary packages
from scipy.spatial import distance as dist
from imutils import perspective
from imutils import contours
import numpy as np
import imutils
import cv2


def midpoint(ptA, ptB): #定义中点
    return ((ptA[0] + ptB[0]) * 0.5, (ptA[1] + ptB[1]) * 0.5)

image = cv2.imread('1111.jpg')

cv2.namedWindow("yuantu",0)
cv2.imshow("yuantu",image)


gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)#二值化操作

cv2.namedWindow("erzhihua",0)
cv2.imshow("erzhihua",gray)

gray = cv2.GaussianBlur(gray, (7, 7), 0)#高斯滤波

cv2.namedWindow("guss",0)
cv2.imshow("guss",gray)

retval,result = cv2.threshold(gray,128,255,cv2.THRESH_BINARY)#阈值分割

cv2.namedWindow("yuzhi",0)
cv2.imshow("yuzhi",result)

# perform edge detection, then perform a dilation + erosion to
# close gaps in between object edges
edged = cv2.Canny(result, 50, 100)
edged = cv2.dilate(edged, None, iterations=1)
edged = cv2.erode(edged, None, iterations=1)

# find contours in t