英文:
Image Processing: Separate Yellow and Blue Channels in Lab Color Space
问题
我是新手对图像处理不太了解，我被分配了一个任务，需要从只包含蓝色和黄色的图像中，通过白色边缘分离黄色（正值）和蓝色（负值）颜色。
不幸的是，我不知道应该如何分离这两种颜色。
而且，我在得到的图像像素中看不到任何负值。
不幸的是，我不能使用高级库，如OpenCv，而且大部分与图像处理相关的互联网教程都使用它。
我将图像从RGB转换为Lab颜色空间。我在Python中进行操作，使用scikit-image库和其他有用的包。
如果有人能给我一些提示，我将不胜感激！谢谢。
英文:
I'm new to image processing, and I was given a task to separate the yellow (+ve values) and blue (-ve values) colors by a white edge from an image that contains only blue and yellow colors.
Unfortunately, I don't know how should I separate both colors.
Also, I cannot see any negative values in the pixels of the image which I got.
Unfortunately, I cannot use an advanced libraries such as OpenCv and most of the tutorials related to image processing on the Internet uses it.
I converted the image from RGB to Lab color space. I'm using Python for this and scikit-image library and other useful packages.
I'll be glad if anyone could help by giving me any hints!
Thanks
答案1
得分: 2
你需要找到一个颜色空间，其中黄色和蓝色能够很好地分开。在RGB颜色空间中（R在左边，G在中间，B在右边），分割通道并将它们分配到页面上：
RGB无边缘检测：
RGB带有边缘检测：
这并不是很好 - 材料捕捉到光线的明亮黄色部分被视为边缘。
让我们尝试使用Lab而不是RGB，L在左边，a在中间，b在右边：
Lab无边缘检测：
Lab带有边缘检测：
依然不太好。现在让我们尝试HSV颜色空间，H在左边，S在中间，V在右边：
HSV无边缘检测：
HSV带有边缘检测：
希望你能看到H在左边是最好的。这是因为黄色在此图表中是60度，而蓝色是240度，因此这两种颜色是对立的 - 或者说是六边形中的圆直径。
然后，你需要进行边缘检测和加粗，然后可以通过选择“变亮”混合模式来将白色边缘叠加到黄色和蓝色的旗帜上，以便在图像的每个位置选择较亮的像素，以使白色边缘透过蓝色和黄色。
英文:
You need to find a colourspace where the yellows and the blues are well separated. Splitting the channels, and assigning them across the page, in RGB colourspace (with R on the left, G in the centre and B on the right):
RGB without edge detection:
RGB with edge detection:
that's not very good - the brighter tones of yellow where the material is catching the light are being treated like edges.
Let's try Lab instead of RGB with L on the left, a in the centre and b on the right:
Lab without edge detection:
Lab with edge detection:
Still not so good. Now let's try HSV colourspace, H on the left, S in the centre and V on the right:
HSV without edge detection:
HSV with edge detection:
And hopefully you can see that H on the left nails it. That's because yellow is 60 degrees and blue is 240 degrees in this diagram so your two colours are diametrically opposed - or whatever hexagons have in place of a circle's diameter.
Then you need to do edge detection, and fattening, then you can composite the white edge over the top of the yellow and blue flag by choosing a "lighten" blend mode where you choose the lighter pixel at each location in the images so that the white edges filter through the blue and yellow.
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