贴部分代码
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import cv2
import numpy as np
from PIL import Image
area = 0
def ostu(img):
global area
image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # 转灰度
blur = cv2.GaussianBlur(image,( 5 , 5 ), 0 ) # 阈值一定要设为 0 !高斯模糊
ret3,th3 = cv2.threshold(blur, 0 , 255 ,cv2.THRESH_BINARY + cv2.THRESH_OTSU) # 二值化 0 = black ; 1 = white
# cv2.imshow('image', th3)
# a = cv2.waitKey(0)
# print a
height, width = th3.shape
for i in range (height):
for j in range (width):
if th3[i, j] = = 255 :
area + = 1
return area
|
以上这篇python opencv 二值化 计算白色像素点的实例就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/qq_38677814/article/details/79509634