The Whale Optimization Algorithm Based on Speed-Up Robust Feature to Improve the Speed of Object Searching

Abstract

Speed-Up Robust Feature (SURF) is one of the methods for extracting image features and matching. This paper proposes the object search method based on the whale optimization algorithm that inherits the previous global best value (IGP-WOA), which has the advantages of fast convergence and multiple search methods. In addition, we use integral images to find the fitness value (IGP-WOA-CII) in the target function calculation, thereby reducing the time spent on SURF extraction and matching.