Image Ranking based on Color Feature Extraction from Images using Different Content Based Image Retrieval Techniques

Abstract

The content-based image retrieval (CBIR) technology enables users to find relevant images based on their content. A trustworthy content-based feature extraction approach is necessary to successfully extract the most of the information from the images. The important feature of a image include texture, color, intensity, shape and object form. This research paper examines the efficiency of color feature extraction from images using CBIR algorithms like Color Monument(CM), Color moment invariant model(CMI), Dominant Color-Based Vector Quantization (DCVQ),  mpeg7 dominant color descriptor and integrated color and texture features techniques. Retrieving and Ranking the images based on most similar images from the image database. And also classify the images from database using classification algorithm.