OpenCV半小时掌握基本操作之像素加减乘除&逻辑运算

目录

概述加减乘除相加相减相乘相除逻辑运算逻辑与逻辑或逻辑反

【OpenCV】⚠️高手勿入! 半小时学会基本操作⚠️像素加减乘除 & 逻辑运算

概述

OpenCV 是一个跨平台的计算机视觉库, 支持多语言, 功能强大. 今天小白就带大家一起携手走进 OpenCV 的世界.

加减乘除

原图:

相加

import cv2


def add(image1, image2):
    \"\"\"相加\"\"\"

    result = cv2.add(image1, image2)

    cv2.imshow(\"add_demo\", result)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    return result


if __name__ == \"__main__\":
    # 读取图片
    img1 = cv2.imread(\"girl2.jpg\")
    img2 = cv2.imread(\"iamarookie.jpg\")

    # 获得相加的图片
    add = add(img1, img2)

    # 保存图片
    cv2.imwrite(\"add.jpg\", add)

输出结果:

相减

import cv2


def subtract(image1, image2):
    \"\"\"相减\"\"\"

    result = cv2.subtract(image1, image2)

    cv2.imshow(\"add_demo\", result)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    return result


if __name__ == \"__main__\":
    # 读取图片
    img1 = cv2.imread(\"girl2.jpg\")
    img2 = cv2.imread(\"iamarookie.jpg\")

    # 获取相减图片
    subtract = subtract(img1, img2)

    # 保存图片
    cv2.imwrite(\"subtract.jpg\", subtract)

输出结果:

相乘

import cv2


def multiply(image1, image2):
    \"\"\"相成\"\"\"

    result = cv2.multiply(image1, image2)

    cv2.imshow(\"add_demo\", result)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    return result


if __name__ == \"__main__\":
    # 读取图片
    img1 = cv2.imread(\"girl2.jpg\")
    img2 = cv2.imread(\"iamarookie.jpg\")

    # 获取相乘图片
    multiply = multiply(img1, img2)

    # 保存图片
    cv2.imwrite(\"multiply.jpg\", multiply)

输出结果:

相除

import cv2


def divide(image1, image2):
    \"\"\"相除\"\"\"

    result = cv2.divide(image1, image2)

    cv2.imshow(\"add_demo\", result)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    return result


if __name__ == \"__main__\":
    # 读取图片
    img1 = cv2.imread(\"girl2.jpg\")
    img2 = cv2.imread(\"iamarookie.jpg\")

    # 获取相除图片
    divide = divide(img1, img2)

    # 保存图片
    cv2.imwrite(\"divide.jpg\", divide)

输出结果:

逻辑运算

逻辑与

cv2.bitwise_and可以帮助我们实现两个图片的逻辑与.

例子:

import cv2


def logic_and(image1, image2):
    \"\"\"逻辑与\"\"\"

    result = cv2.bitwise_and(image1, image2)

    # 结果展示
    cv2.imshow(\"result\", result)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    return result


if __name__ == \"__main__\":
    # 读取图片
    img1 = cv2.imread(\"girl2.jpg\")
    img2 = cv2.imread(\"iamarookie.jpg\")

    # 获取逻辑与后的图片
    logic_and = logic_and(img1, img2)

    # 保存图片
    cv2.imwrite(\"logic_and.jpg\", logic_and)

输出结果:

逻辑或

cv2.bitwise_or可以帮助我们实现两个图片的逻辑或.

例子:

import cv2


def logic_or(image1, image2):
    \"\"\"逻辑或\"\"\"

    result = cv2.bitwise_or(image1, image2)

    # 结果展示
    cv2.imshow(\"result\", result)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    return result


if __name__ == \"__main__\":
    # 读取图片
    img1 = cv2.imread(\"girl2.jpg\")
    img2 = cv2.imread(\"iamarookie.jpg\")

    # 获取逻辑或后的图片
    logic_or = logic_or(img1, img2)

    # 保存图片
    cv2.imwrite(\"logic_or.jpg\", logic_or)

输出结果:

逻辑反

cv2.bitwise_not()可以帮助我们实现像素取反.

例子:

import numpy as np
import cv2


def logic_not(image):
    \"\"\"逻辑非\"\"\"

    result = cv2.bitwise_not(img)

    # 合并
    result = np.hstack((img, result))

    # 结果展示
    cv2.imshow(\"result\", result)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    return result


if __name__ == \"__main__\":
    # 读取图片
    img = cv2.imread(\"beautiful_girl.jpg\")

    # 获取取反图片
    logic_not = logic_not(img)

    # 保存图片
    cv2.imwrite(\"logic_not.jpg\", logic_not)

输出结果: