计算机视觉 OpenCV(Python)的二值化示例

# -*-coding:utf-8-*-

# src：输入图，只能输入单通道图像，通常来说为灰度图

# - dst：输出图

# - thresh：阈值

# - maxval：当像素值超过了阈值（或者小于阈值，根据type来决定），所赋予的值

# - type：二值化操作的类型，包含以下5种类型： cv2.THRESH_BINARY； cv2.THRESH_BINARY_INV； cv2.THRESH_TRUNC； cv2.THRESH_TOZERO；cv2.THRESH_TOZERO_INV

# - cv2.THRESH_BINARY 超过阈值部分取maxval（最大值），否则取0

# - cv2.THRESH_BINARY_INV THRESH_BINARY的反转

# - cv2.THRESH_TRUNC 大于阈值部分设为阈值，否则不变

# - cv2.THRESH_TOZERO 大于阈值部分不改变，否则设为0

# - cv2.THRESH_TOZERO_INV THRESH_TOZERO的反转

import cv2

import matplotlib.pyplot as plt

plt.switch_backend("TkAgg")

img=cv2.imread("../Lena.png")

img_gray=cv2.imread("../Lena.png",0)

#ret:阈值

ret, thresh1 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_BINARY)

ret, thresh2 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_BINARY_INV)

ret, thresh3 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_TRUNC)

ret, thresh4 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_TOZERO)

ret, thresh5 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_TOZERO_INV)

titles = ['Original Image', 'BINARY', 'BINARY_INV', 'TRUNC', 'TOZERO', 'TOZERO_INV']

images = [img_gray, thresh1, thresh2, thresh3, thresh4, thresh5]

for i in range(6):

plt.subplot(2, 3, i + 1), plt.imshow(images[i], cmap='gray')

plt.title(titles[i])

plt.xticks([]), plt.yticks([])

plt.show()

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