OpenCV for Python之像素運算

Opencv4官方文檔:https://docs.opencv.org/2.4.4-beta/
Opencv4 for Python中文文檔點擊下載:Opencv4 for Python 中文文檔

1 環境

Python 3.7 + OpenCV 4.2

2 像素值的加減乘除

def add_demo(m1, m2):
    dst = cv.add(m1, m2) #就是像素值想加,超過255，算是255
    cv.imshow("add_demo", dst)


def subtract_demo(m1, m2):
    dst = cv.subtract(m2,m1) #交換相減的話低於0爲0
    cv.imshow("subtract_demo", dst)


def divide_demo(m1, m2):
    dst = cv.divide(m1, m2)
    cv.imshow("divide_demo", dst)

def multiply_demo(m1, m2):
    dst = cv.multiply(m1, m2)
    cv.imshow("multiply_demo", dst)
if __name__ == "__main__":
    src1 = cv.imread("./files/images/01.jpg")
    src2 = cv.imread("./files/images/02.jpg")
    cv.namedWindow("image1", cv.WINDOW_AUTOSIZE)  # 創建窗口, 窗口尺寸自動調整
    cv.imshow("image1", src1)
    cv.imshow("image2", src2)

    add_demo(src1, src2)
    subtract_demo(src1, src2)
    divide_demo(src1, src2)
    multiply_demo(src1,src2)

整體效果:

3 像素值均值方差

def meanVar(m1, m2):
    M1 = cv.mean(m1)
    M2 = cv.mean(m2)
    print(M1)
    print(M2)

    mean1, dev1 = cv.meanStdDev(m1)
    print("均值：",mean1,"方差：", dev1)

均值與方差爲：

4 像素值按位運算

上一篇博客中提到的或與非異或

image = cv.imread("./files/images/threshold.png")
    cv.imshow("image1",image)
    dst = cv.bitwise_not(image) #非 取反
    cv.imshow("logic_demo", dst)

轉載請註明轉自:https://leejason.blog.csdn.net/article/details/106435758