Colour Detection On Image
Colour detection is the process of detecting the name of any color. Simple isn’t it? Well, for humans this is an extremely easy task but for computers, it is not straightforward. Human eyes and brains work together to translate light into color. Light receptors that are present in our eyes transmit the signal to the brain. Our brain then recognizes the color. Since childhood, we have mapped certain lights with their color names. We will be using the somewhat same strategy to detect color names.
Colour detection is necessary to recognize objects, it is also used as a tool in various image editing and drawing apps.
In this color detection Python project, we are going to build an application through which you can automatically get the name of the color by clicking on them. So for this, we will have a data file that contains the color name and its values. Then we will calculate the distance from each color and find the shortest one.
The Dataset Colors are made up of 3 primary colors; red, green, and blue. In computers, we define each color value within a range of 0 to 255. So in how many ways we can define a color? The answer is 256256256 = 16,581,375. There are approximately 16.5 million different ways to represent a color. In our dataset, we will map each color’s values with their corresponding names. But we don’t need to map all the values. We will be using a dataset that contains RGB values with their corresponding names.