问题描述
有一个项目正在进行中，需要进行白色检测，经过一番研究，我决定将隐蔽的RGB图像用于HSL图像，并脱粒保持亮度以获得白色，我与openCV一起使用，所以想知道是否存在是一种方法.在此处输入图片描述
There is a project that im working on which required the color white detection, after some research i decided to use covert RGB image to HSL image and thresh hold the lightness to get the color white, im working with openCV so wonder if there is a way to do it.enter image description here
推荐答案
您可以通过4个简单的步骤来做到这一点:
You can do it with 4 easy steps:
转换HLS
img = cv2.imread("HLS.png")
imgHLS = cv2.cvtColor(img, cv2.COLOR_BGR2HLS)
获取L频道
Lchannel = imgHLS[:,:,1]
创建蒙版
#change 250 to lower numbers to include more values as "white"
mask = cv2.inRange(Lchannel, 250, 255)
将遮罩应用于原始图像
res = cv2.bitwise_and(img,img, mask= mask)
这也取决于您是什么白色，您可以更改值:)我在L通道中使用了inRange，但是您可以保存一步并执行
This also depends on what is white for you, and you may change the values :) I used inRange in the L channel but you can save one step and do
mask = cv2.inRange(imgHLS, np.array([0,250,0]), np.array([255,255,255]))
代替行:
Lchannel = imgHLS[:,:,1]
mask = cv2.inRange(Lchannel, 250, 255)
它更短，但是我首先用另一种方法使它更明确并显示我在做什么.
It is shorter, but I did it the other way first to make it more explicit and to show what I was doing.
图片:
结果:
结果看起来几乎就像是蒙版(几乎是二进制的)，但是根据您的下限(我选择了250)，您甚至可能会得到几乎是白色的颜色.
The result looks almost as the mask (almost binary), but depending on your lowerbound (I chose 250) you may get even some almost white colors.
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