使用Python和&找到红色OpenCV的

我正在尝试从图像中提取红色。我有代码应用阈值只保留指定范围内的值：

I am trying to extract red color from an image. I have code that applies threshold to leave only values from specified range:

img=cv2.imread('img.bmp')
img_hsv=cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
lower_red = np.array([0,50,50]) #example value
upper_red = np.array([10,255,255]) #example value
mask = cv2.inRange(img_hsv, lower_red, upper_red)
img_result = cv2.bitwise_and(img, img, mask=mask)

但是，正如我检查的那样，红色可以在范围内具有Hue值，假设从0到10，以及在170到180之间。因此，我想留下这两个范围中的任何一个的值。我尝试将阈值从10设置为170并使用cv2.bitwise_not函数，但随后我也获得了所有白色。我认为最好的选择是为每个范围创建一个掩码并使用它们，所以我不得不在继续之前将它们连接在一起。

But, as i checked, red can have Hue value in range, let's say from 0 to 10, as well as in range from 170 to 180. Therefore, i would like to leave values from any of those two ranges. I tried setting threshold from 10 to 170 and using cv2.bitwise_not function, but then i get all the white color as well. I think the best option would be to create a mask for each range and use them both, so I somehow have to join them together before proceeding.

有没有办法可以使用OpenCV加入两个掩码？或者还有其他方法可以实现我的目标吗？

Is there a way I could join two masks using OpenCV? Or is there some other way I could achieve my goal?

编辑。我来的不是很优雅，但工作解决方案：

Edit. I came with not much elegant, but working solution:

image_result = np.zeros((image_height,image_width,3),np.uint8)

for i in range(image_height):  #those are set elsewhere
    for j in range(image_width): #those are set elsewhere
        if img_hsv[i][j][1]>=50 \
            and img_hsv[i][j][2]>=50 \
            and (img_hsv[i][j][0] <= 10 or img_hsv[i][j][0]>=170):
            image_result[i][j]=img_hsv[i][j]

它几乎满足了我的需求，而OpenCV的功能可能几乎完全相同，但如果有更好的方法（使用一些专用函数和写少量代码）请与我分享。 ：）

It pretty much satisfies my needs, and OpenCV's functions probably do pretty much the same, but if there's a better way to do that(using some dedicated function and writing less code) please share it with me. :)