numpy：根据多个条件将值设置为零(numpy: Setting values to zero based on multiple conditions)

 我有一个RGB图像，我正在尝试使用类似下面的方法为它执行一个简单的阈值处理： 
 
from skimage import filter
def threshold(image):
    r = image[:, :, 0]
    g = image[:, :, 1]
    b = image[:, :, 2]

    rt = filter.threshold_otsu(r)
    gt = filter.threshold_otsu(g)
    bt = filter.threshold_otsu(b)
 
 我现在要做的是制作一个二进制掩码，其中原始图像中小于这些阈值的RGB值应该设置为0。 
 
mask = np.ones(r.shape)
 
 我无法弄清楚如何做的是如何将掩码索引（x，y）设置为零 
 
image[x, y, 0] < rt and image[x, y, 1] < gt and image [x, y, 2] < bt
 
 不知怎的，我需要从这个原始图像中获得满足这个标准的（x，y）像素索引，但我不知道如何做到这一点。 

I have an RGB image and I am trying to perform a simple thresholding for it using something like this:
 
from skimage import filter
def threshold(image):
    r = image[:, :, 0]
    g = image[:, :, 1]
    b = image[:, :, 2]

    rt = filter.threshold_otsu(r)
    gt = filter.threshold_otsu(g)
    bt = filter.threshold_otsu(b)
 
What I would like to do is now make a binary mask where the RGB values in the original image which are less than these threshold value should be set to 0.
 
mask = np.ones(r.shape)
 
What I cannot figure out how to do is how do I set the mask indices (x, y) to zero where the 
 
image[x, y, 0] < rt and image[x, y, 1] < gt and image [x, y, 2] < bt
 
Somehow I need to get the (x, y) pixel indices from this original image which meets this criteria but I am not sure how to do this.

原文：https://stackoverflow.com/questions/28279438