Detection and Extraction of Colours in Digital Images and Computer Vision

Colour detection plays a pivotal role in our daily lives. This study explains how colour is perceived by the rods and cones in human and animal eyes and transferred to the brain to create images. There are different applications of colour detection, and one of the most effective uses of colour is marketing. Colour can evoke emotion, affect purchases in stores, affect mood, and alter how one perceives food based on colour. Further advancements include the applications of colour detection in technology such as x-ray machines, night vision goggles, and infrared technology. In this work, two models were presented: a MATLAB model which extracts specific colours from an image using the pixel values. The second model is a python model that allows the user to identify a colour in any image and correctly predict the name of that colour along with its hex values. We concluded that the easiest colours to extract are red, green, and yellow. The most challenging colour to extract is purple.