PIL_查看图像的详细信息

import numpy as np
# 图像的二值化
def Binarization():
    img = Image.open("1.png")
    plt.imshow(img)
    plt.show()
    limg = img.convert('L') #转化成灰度图

    threshold = 127
    table = []
    for i in range(256):
        if i < threshold:
            table.append(0)
        else:
            table.append(1)
    bimg = limg.point(table, "1")# 二值化自定义阀值

    im = np.array(bimg) #将Image图像转化成numpy格式,以便查看图像的详细维度信息

    bimg.save("2.jpg")

    print(im.shape)

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转载自blog.csdn.net/Gentlemanman/article/details/86515416