图像处理05 色彩转换+加减乘除、逻辑与或非

图像操作

import numpy as np
import cv2

def color_space(image):
    """色彩空间转换"""
    hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
    hls = cv2.cvtColor(image, cv2.COLOR_BGR2HLS)
    ycrcb = cv2.cvtColor(image, cv2.COLOR_BGR2YCrCb)
    yuv = cv2.cvtColor(image, cv2.COLOR_BGR2YUV)

    h1 = np.hstack((hsv, hls))
    h2 = np.hstack((ycrcb, yuv))
    stack = np.vstack((h1, h2))

    return stack
# 读取图片
img = cv2.imread("girl.png")
img = cv2.resize(img, (320, 274))

# 不同色彩空间
stack = color_space(img)

# 图片展示
cv2.imshow("stack", stack)
cv2.waitKey(0)
cv2.destroyAllWindows()

 

 

import cv2


def add(image1, image2):
    """相加"""
    image1 = cv2.resize(image1, (640, 554))
    image2 = cv2.resize(image2, (640, 554))
    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("girl.png")
    img2 = cv2.imread("cat.png")

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

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

 

 

 

 

 

 

def subtract(image1, image2):
    """相减"""
    image1 = cv2.resize(image1, (640, 554))
    image2 = cv2.resize(image2, (640, 554))
    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("girl.png")
    img2 = cv2.imread("cat.png")

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

    subtract=subtract(img1,img2)

 

 

 

 

 

 

def multiply(image1, image2):
    """相成"""
    image1 = cv2.resize(image1, (640, 554))
    image2 = cv2.resize(image2, (640, 554))
    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("girl.png")
    img2 = cv2.imread("cat.png")

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

 

 

def divide(image1, image2):
    """相除"""
    image1 = cv2.resize(image1, (640, 554))
    image2 = cv2.resize(image2, (640, 554))
    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("girl.png")
    img2 = cv2.imread("cat.png")

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

 

 

 

 

 

def logic_and(image1, image2):
    """逻辑与"""
    image1 = cv2.resize(image1, (640, 554))
    image2 = cv2.resize(image2, (640, 554))
    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("girl.png")
    img2 = cv2.imread("cat.png")

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

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

 

def logic_or(image1, image2):
    """逻辑或"""
    image1 = cv2.resize(image1, (640, 554))
    image2 = cv2.resize(image2, (640, 554))
    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("girl.png")
    img2 = cv2.imread("cat.png")

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

 

 

 

 

 

def logic_not(img):
    """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
    img1 = cv2.imread("girl.png")
    img2 = cv2.imread("cat.png")

    # 获取逻辑与后的图片
    logic_not = logic_not(img1)

 

标签：__,05,cv2,图像处理,result,image2,image1,img1,加减乘除
来源： https://www.cnblogs.com/kexsama/p/15153264.html