A Competent and Novel Approach of Designing an Intelligent Image Retrieval System

A Competent and Novel Approach of Designing an Intelligent Image Retrieval System

Blog Article

A prominent technique used to search imperceptible images from any vast repository is denoted by Content based image retrieval (CBIR) system.The most eminent features of CBIR system are Texture, Color and Shape and in this paper these features are extracted using Local binary pattern, Color moment and Automatic segmentation process respectively.Thefeatures of these descriptors are combined for the formation nacrack.com of a hybrid feature vector by utilizing the process of normalization.Then, for enhancing the retrieval accuracy of the vibrating table for chocolate proposed system, Extreme learning machine (ELM) has been utilized as a classifier.The proposed hybrid CBIR system with ELM leads to an evolution of an intelligent system.

Variousevaluation metrics like Precision, Recall, Accuracy, etc.have been calculated on the proposed system on standard datasets.Average precision of 90%, 78%, 72% and 88.70% has been obtained respectively on Corel-1K, Corel-5K, Corel-10K and GHIM datasets which is significantly higher than the related techniques.