cv2.threshold阈值相关用法说明

ret, dst = cv2.threshold(src, thresh, maxval, type)

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，就是怎么处理阈值，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

cv2.THRESH_OTSU   方法能够根据当前图像生成最佳的类间分割阈值，原理是遍历所有可能的阈值，从而找到最合适的阈值，thresh：阈值要设置为0，适合双峰型阀值，其他情况不适用

import cv2
import matplotlib.pyplot as plt
img = cv2.imread('cat.jpg')
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.imshow('img_gray)', img_gray)
ret1, thresh1 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_BINARY)
ret2, thresh2 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_BINARY_INV)
ret3, thresh3 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_TRUNC)
ret4, thresh4 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_TOZERO)
ret5, thresh5 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_TOZERO_INV)