python opencv 二值化 计算白色像素点的实例

贴部分代码#!/usr/bin/envpython#-*-coding:utf-8-*-importcv2importnumpyasnpfromPILimportImagearea=0defostu(img):globa

贴部分代码

#! /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

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python opencv 二值化 白色 像素点