对象测量

其他

发布时间 : 2021-01-02 15:24

阅读 :

import cv2 as cv
import numpy as np


def measure_object(image):
    gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
    ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY | cv.THRESH_OTSU)
    # ret,binary=cv.threshold(gray,0,255,cv.THRESH_BINARY_INV | cv.THRESH_OTSU)
    print('threshold value: {}'.format(ret))
    cv.imshow('binary image', binary)
    dst = cv.cvtColor(binary,cv.COLOR_GRAY2BGR)
    contours, hireachy = cv.findContours(binary, cv.RETR_EXTERNAL,
                                         cv.CHAIN_APPROX_SIMPLE)
    for i, contour in enumerate(contours):
        area = cv.contourArea(contour)
        x, y, w, h = cv.boundingRect(contour)
        rate = min(w, h) / max(w, h)
        print('rectangle rate: {}'.format(rate))
        mm = cv.moments(contour)
        print(type(mm))
        cx = mm['m10'] / mm['m00']
        cy = mm['m01'] / mm['m00']
        cv.circle(dst, (np.int(cx), np.int(cy)), 3, (0, 255, 255), -1)
        # cv.rectangle(image, (x,y), (x+w, y+h), (0, 0,255), 2)
        print('contour area: {}', area)
        appprocCurve = cv.approxPolyDP(contour, 4, True)
        print(appprocCurve.shape)
        if appprocCurve.shape[0] > 6:
            cv.drawContours(dst, contours, i, (0, 255, 0), 2)
        if appprocCurve.shape[0] == 4:
            cv.drawContours(dst, contours, i, (0, 0, 255), 2)
        if appprocCurve.shape[0] == 3:
            cv.drawContours(dst, contours, i, (255, 0, 0), 2)
    cv.imshow('measure-contours', dst)


src = cv.imread('./13.png')  # blue, green, red
cv.namedWindow('input image', cv.WINDOW_AUTOSIZE)
cv.imshow('input image', src)
measure_object(src)
cv.waitKey(0)

cv.destroyAllWindows()

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