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| # -*- coding: utf-8 -*-
| __author__ = '上海色宁'
|
| import sys
| import cv2
| import matplotlib.pyplot as plt
|
| #计算方差
| def getss(list):
| #计算平均值
| avg=sum(list)/len(list)
| #定义方差变量ss，初值为0
| ss=0
| #计算方差
| for l in list:
| ss+=(l-avg)*(l-avg)/len(list)
| #返回方差
| return ss
|
| #获取每行像素平均值
| def getdiff(img):
| #定义边长
| Sidelength=30
| #缩放图像
| img=cv2.resize(img,(Sidelength,Sidelength),interpolation=cv2.INTER_CUBIC)
| #灰度处理
| gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
| #avglist列表保存每行像素平均值
| avglist=[]
| #计算每行均值，保存到avglist列表
| for i in range(Sidelength):
| avg=sum(gray[i])/len(gray[i])
| avglist.append(avg)
| #返回avglist平均值
| return avglist
|
| #读取测试图片
| img1=cv2.imread(sys.argv[1])
| #ret, binary1 = cv2.threshold(img1,127,255,cv2.THRESH_BINARY_INV)
| ret, binary1 = cv2.threshold(img1,0,255,cv2.THRESH_TRIANGLE)
|
|
| diff1=getdiff(binary1)
| print('img1:',getss(diff1))
|
| #读取测试图片
| img11=cv2.imread(sys.argv[2])
| #ret, binary11 = cv2.threshold(img11,127,255,cv2.THRESH_BINARY_INV)
| ret, binary11 = cv2.threshold(img11,0,255,cv2.THRESH_TRIANGLE)
|
| diff11=getdiff(binary11)
| print('img11:',getss(diff11))
|
| ss1=getss(diff1)
| ss2=getss(diff11)
| print("两张照片的方差为：%s"%(abs(ss1-ss2)))
|
|
| '''
| x=range(30)
| plt.figure("avg")
| plt.plot(x,diff1,marker="*",label="$jiames$")
| plt.plot(x,diff11,marker="*",label="$durant$")
| plt.title("avg")
| plt.legend()
| plt.show()
| '''
|
| #cv2.waitKey(0)
| #cv2.destroyAllWindows()
|
|
