APPLICATIONS OF BREGMAN DISTANCE FUNCTION TO IMPROVE THE PERFORMANCE OF THE PLANT LEAF IMAGE RETRIEVAL SYSTEM

Abstract

The retrieval of plant leaf images has shown a crucial role in the smart agriculture.The accurate and high performance development of plant leaf image retrieval systems allowsagricultural users to search relevant results. In this paper, we propose a new approachto improve the performance of the plant leaf image retrieval system via using Bregmandistance function. Firstly, we apply various advanced feature extraction techniques to plantleaf images. Next, using the Bregman distance is proposed to retrieve the images withhigh performance. The experimental results demonstrate that combining feature extractionmethods with the Bregman distance significantly enhances the performance of the imageretrieval system. We have evaluated the performance of the proposed method on two publicdatasets of plant leaf images. The obtained accuracy for the retrieval of plant leaf imagesand the time complexity analysis have shown the eectiveness of our proposed method.