轮廓发现

其他

发布时间 : 2021-01-02 15:17

阅读 :

import cv2 as cv
import numpy as np


def edge_demo(image):
    blurred = cv.GaussianBlur(image, (3, 3), 0)
    gray = cv.cvtColor(blurred, cv.COLOR_BGR2GRAY)
    xgrad = cv.Sobel(gray, cv.CV_16SC1, 1, 0)
    ygrad = cv.Sobel(gray, cv.CV_16SC1, 0, 1)
    # edge_output = cv.Canny(xgrad, ygrad, 50, 150)
    edge_output = cv.Canny(gray, 30, 100)
    cv.imshow('Canny Edge', edge_output)

    return edge_output

def contours_demo(image):
    '''dst = cv.GaussianBlur(image, (3, 3), 0)
    gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
    ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY | cv.THRESH_OTSU)
    cv.imshow('binary image', binary)
    '''

    binary = edge_demo(image)

    contours, heriachy = cv.findContours(binary, cv.RETR_EXTERNAL,
                                         cv.CHAIN_APPROX_SIMPLE)
    for i, contour in enumerate(contours):
        cv.drawContours(image, contours, i, (0,0,255), 2)
        print(i)
    cv.imshow('detect_contour', image)


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

cv.destroyAllWindows()

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