Approach to Retrieve Content-based Image from a Clustered Database Based on a Dominant Colour

Over the past few years, there has been a significant increase in both the availability and significance of image retrieval systems. One of the most important aspects of the photographs during the search process is their colour. Since there are many widely used techniques for color-based comparison and retrieval. In this research, we present a Dominant Colour extraction scheme that allows us to extract the image's colour features. We utilise quantization to represent the extracted prominent colours within a bound after extracting the dominant colours. We cluster the database and index the images based on quantized value. When an image which is set as question is sent as input into the system, it will only identify cluster in the image and search the image rather than the entire database utilised similarity metric in.