实现图片左上角设置为白像素:
import cv2 as cvimport numpy as npimg = cv.imread('D:\\Pycharm code\\venv\\src
\\MyPic.png')img[0, 0] = [255, 255, 255] cv.imshow('image', img) cv.waitKey(0)
用numpy.array的itemset方法操作单个像素点:
import cv2 as cv import numpy as np import os img = cv.imread('D:\\Pycharm code
\\venv\\src\\MyPic.png') print(img.item(150, 120, 0)) img.itemset((150, 120, 0),
255) #操作单个像素点 print(img.item(150, 120, 0))
操作通道(此处是将指定通道(B、G或R)的所有值置为0):
import cv2 as cv import numpy as np import os img = cv.imread('D:\\Pycharm code
\\venv\\src\\MyPic.png') img[:, :, 1] = 0 #图像所有的G(绿色值)被设置为0,该图像将完全没有绿色
cv.imshow('image', img) cv.waitKey(0)
实现将一块区域复制到另一块区域:
import cv2 as cv import numpy as np import os img = cv.imread('D:\\Pycharm code
\\venv\\src\\MyPic.png') #感兴趣区域(Region Of Interest, ROI) my_roi = img[0:100, 0:
100] img[300:400, 300:400] = my_roi cv.imshow('image', img) cv.waitKey(0) #
实现将一块区域复制到另一块区域
获取图片信息:
import cv2 as cv import numpy as np import os img = cv.imread('D:\\Pycharm code
\\venv\\src\\MyPic.png') print(img.shape) print(img.size) print(img.dtype)
shape返回包含宽度高度和通道数(如果图像是彩色的)的数组,若图像是单色或灰度的,将不包括通道值
size指图像像素的大小
datatype指图像的数据类型
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