: Mathematical approach to color schemes I am trying to implement a program that will classify the color scheme of the image based on the dominant colors. Example: I am using machine learning
I am trying to implement a program that will classify the color scheme of the image based on the dominant colors. Example:
I am using machine learning tools but I wonder whether there is a mathematical approach to this problem. E.g. if the angle between the hues of two colors is between alpha and beta than it is a complementary scheme. I could not find any information on this topic. Any help would be very much appreciated.
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This is like coding basis right? A mathematical if clause like that in a program. I have focused on graphic design but have little background on software coding so I just give my combined know how for this. Forgive me if i might mislead you but I just give you some base point to start from. Just try it if it can help you.
Since you are getting the colors in flat files or jpegs. It is better to get the figures from hexadecimical colors. If a sampled color is less than or equal; it should give the value of a specific hexadecimal value of a color. The shades will follow. then narrow it down by selecting the colors you want to retain. Try to see the function of the Vector Magic program to see what I ment.
You can refer to the paper "Modeling How People Extract Color Themes from Images". It studies how to extract color themes from images automatically by mediating human's way to do it. The implementation can be found in github.com/sharondl/color-themes.
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