图像二值化

其他

发布时间 : 2021-01-02 15:20

阅读 :

import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt


def threshold_demo(image):
    gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
    ret, binary = cv.threshold(gray, 127, 255, cv.THRESH_BINARY | cv.THRESH_OTSU)
    print('threshold value: {}'.format(ret))
    cv.imshow('binary', binary)

def local_demo(image):
    gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
    binary = cv.adaptiveThreshold(gray, 255, cv.ADAPTIVE_THRESH_GAUSSIAN_C,
                                  cv.THRESH_BINARY, 25, 10)   #25必须奇数
    cv.imshow('binary', binary)

def custom_threshold(image):
    gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
    h, w = gray.shape[:2]
    m = np.reshape(gray, [1, w*h])
    mean = m.sum() / (w*h)
    print('mean:', mean)
    ret, binary = cv.threshold(gray, mean, 255, cv.THRESH_BINARY)
    cv.imshow('binary', binary)


src = cv.imread('./10.png')  # blue, green, red
cv.namedWindow('input image', cv.WINDOW_AUTOSIZE)
cv.imshow('input image', src)
# threshold_demo(src)
# local_demo(src)
custom_threshold(src)
cv.waitKey(0)

cv.destroyAllWindows()

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