营销型网站建设优化建站,佛山seo按效果付费,数据标签wordpress,dede更新网站一、相关概念
1、算术运算 Ⅰ加减乘除 Ⅱ调节亮度 Ⅲ调整对比度
2、逻辑运算 Ⅰ与或非 Ⅱ遮罩层控制
二、图像算术运算(加减乘除均值方差)
其中图像的加减乘除需要保证两张图像的大小相同
import cv2
import numpy as npdef add(src1,src2):dst cv2.add(src1,src2)cv2.im…一、相关概念
1、算术运算 Ⅰ加减乘除 Ⅱ调节亮度 Ⅲ调整对比度
2、逻辑运算 Ⅰ与或非 Ⅱ遮罩层控制
二、图像算术运算(加减乘除均值方差)
其中图像的加减乘除需要保证两张图像的大小相同
import cv2
import numpy as npdef add(src1,src2):dst cv2.add(src1,src2)cv2.imshow(add,dst)def subtract(src1,src2):dst1 cv2.subtract(src1,src2)dst2 cv2.subtract(src2,src1)cv2.imshow(subtract1,dst1)cv2.imshow(subtract2,dst2)def divide(src1,src2):dst1 cv2.divide(src1,src2)dst2 cv2.divide(src2,src1)cv2.imshow(divide1,dst1)cv2.imshow(divide2,dst2)def multiply(src1,src2):dst cv2.multiply(src1,src2)cv2.imshow(multiply,dst)def average_value(src1,src2):#图像均值m1 cv2.mean(src1)m2 cv2.mean(src2)print(均值1,m1)print(均值2,m2)def mean_variance(src1,src2):m1,dev1 cv2.meanStdDev(src1)#m为均值,dev为方差m2,dev2 cv2.meanStdDev(src2)print(均值1,m1)print(均值2,m2)print(方差1,dev1)print(方差2,dev2)def compare(src1):#当全为1的图像其方差为0h,w src1.shape[:2]print(h,w)img np.ones([h,w],np.uint8)m,dev cv2.meanStdDev(img)print(均值是,m,方差是,dev)src1 cv2.imread(rG:\Juptyer_workspace\study\opencv\opencv3\a1.jpg)
src2 cv2.imread(rG:\Juptyer_workspace\study\opencv\opencv3\a2.jpg)
print(src1.shape)
print(src2.shape)#cv2.namedWindow(image1,cv2.WINDOW_AUTOSIZE)
cv2.imshow(image1,src1)
cv2.imshow(image2,src2)add(src1,src2)
subtract(src1,src2)
divide(src1,src2)
multiply(src1,src2)average_value(src1,src2)
mean_variance(src1,src2)compare(src1)cv2.waitKey(0)
cv2.destroyAllWindows()运行效果如下
三、图像的逻辑运算(与或非)
与或运算针对两张图片而言非运算针对单一图片而言
import cv2
import numpy as npdef logic(src1,src2):And cv2.bitwise_and(src1,src2)cv2.imshow(logic_and,And)Or cv2.bitwise_or(src1,src2)cv2.imshow(logic_or,Or)Not1 cv2.bitwise_not(src1)cv2.imshow(logic_not1,Not1)Not2 cv2.bitwise_not(src2)cv2.imshow(logic_not2,Not2)src1 cv2.imread(rG:\Juptyer_workspace\study\opencv\opencv3\a1.jpg)
src2 cv2.imread(rG:\Juptyer_workspace\study\opencv\opencv3\a2.jpg)
cv2.imshow(image1,src1)
cv2.imshow(image2,src2)logic(src1,src2)cv2.waitKey(0)
cv2.destroyAllWindows()运行效果图如下
四、对图像的对比度、亮度进行调节
import cv2
import numpy as npdef contrast_brightness(src,c,b):#目标图像、对比度、亮度h,w,ch src.shapeblack np.zeros([h,w,ch],src.dtype)dst cv2.addWeighted(src,c,black,1-c,b)cv2.imshow(contrast_brightness,dst)src cv2.imread(rG:\Juptyer_workspace\study\opencv\opencv3\a1.jpg)
cv2.imshow(image,src)contrast_brightness(src,1,2)cv2.waitKey(0)
cv2.destroyAllWindows()效果图如下
