Augmented Corvus Search Optimization for Image Retrieval in Content Based Images

Abstract

Abstract: One of the most distinctive study areas in the field of Computer applications has been Content-Based Image Retrieval (CBIR). The goal of this research is to increase the recovery presentation of the CBIR framework by combining advanced approaches to predict appropriate centroid in Fuzzy C-Means (FCM). The use of a consolidated approach to predict FCM centroid should reduce complexity and computing time. When compared to existing procedures such as PWO, SSO, and CSO, the results show that combining ACSO with FCM yields better results when compared to challenge procedures.

Index Terms: Corvus Search Optimization, FCM, CSO, SSO, Augmentation.