import cv2
image=cv2.imread("ddd.jpg")
image1=cv2.cvtColor(image,cv2.COLOR_BGR2BGRA)
cv2.imshow("",image1)
cv2.waitKey(0)
if __name__ == '__main__':
    print()

split()和merge()

例子：

import cv2
image=cv2.imread("ddd.jpg")
# image1=cv2.cvtColor(image,cv2.COLOR_BGR2BGRA)
r,g,b=cv2.split(image)
cv2.imshow("r",r)
cv2.imshow("g",g)
cv2.imshow("b",b)
cv2.waitKey(0)
if __name__ == '__main__':
    print()

import cv2
image=cv2.imread("/home/dfy/Pictures/Camera_photo/Camera_photo/sss.jpg")
# image1=cv2.cvtColor(image,cv2.COLOR_BGR2BGRA)
r,g,b=cv2.split(image)
cv2.imshow("r",r)
cv2.imshow("g",g)
cv2.imshow("b",b)
image1=cv2.merge([b,g,r])
cv2.imshow("image",image1)
cv2.waitKey(0)
if __name__ == '__main__':
    print()

threshold()函數(shù)

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

實(shí)現(xiàn)二值化的重要函數(shù)

參數(shù)說(shuō)明

src 輸入圖像

image 輸出圖像

thresh 閥值

maxval 當(dāng)像素值超過(guò)閥值thresh 時(shí)賦值為maxval

type 當(dāng)像素值小于閥值thresh的時(shí)賦值為type type可填下面5種類型的參數(shù)

例子：

import cv2
image=cv2.imread("/home/dfy/Pictures/Camera_photo/Camera_photo/sss.jpg")
# image1=cv2.cvtColor(image,cv2.COLOR_BGR2BGRA)
# r,g,b=cv2.split(image)
# cv2.imshow("",r)
# cv2.imshow("",g)
# cv2.imshow("",b)
# image1=cv2.merge([b,g,r])
# cv2.imshow("image",image1)

ret,image1=cv2.threshold(image,127,255,cv2.THRESH_BINARY)
ret1,image2=cv2.threshold(image,127,255,cv2.THRESH_BINARY_INV)
# ret2,image3=cv2.threshold(image,127,255,cv2.THRESH_TRIANGLE)
ret3,image4=cv2.threshold(image,127,255,cv2.THRESH_TOZERO)
ret4,image5=cv2.threshold(image,127,255,cv2.THRESH_TOZERO_INV)

cv2.imshow("1",image1)
cv2.imshow("2",image2)
# cv2.imshow("3",image3)
cv2.imshow("4",image4)
cv2.imshow("5",image5)
cv2.waitKey(0)
if __name__ == '__main__':
    print()

自定義threshold函數(shù)進(jìn)行二值化

import cv2
image=cv2.imread("/home/dfy/Pictures/Camera_photo/Camera_photo/sss.jpg")
width,height,n=image.shape
image2=image.copy()
for i in range(width):
    for j in range(height):
        for channel in range(3):
            if image2[i][j][channel]>127:
                image2[i][j][channel]=255
            else:
                image2[i][j][channel]=0
cv2.imshow('',image2)
cv2.waitKey(0)

if __name__ == '__main__':
    print()

這個(gè)速度很慢對(duì)于分辨率太高的圖

色度函數(shù)applyColorMap

import cv2
image=cv2.imread("/home/dfy/Pictures/Camera_photo/Camera_photo/sss.jpg")
image_color_map=cv2.applyColorMap(image,cv2.COLORMAP_JET)
cv2.imshow("im",image_color_map)
cv2.waitKey(0)

if __name__ == '__main__':
    print()

到此這篇關(guān)于詳解Python中常用的圖片處理函數(shù)的使用的文章就介紹到這了,更多相關(guān)Python圖片處理函數(shù)內(nèi)容請(qǐng)搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家！

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