Experiments of Distance Measurements in a Foliage Plant Retrieval System

• Main Authors: Kadir, Abdul, Nugroho, Lukito Edi, Susanto, Adhi, Santosa, Paulus Insap
• Format: Article PeerReviewed
• Language: English
• Published: 2012
• Subjects: Signal Processing
• Online Access: https://repository.ugm.ac.id/33136/1/Experiments_of_Distance_Measurements_in_a_Foliage_Plant_Retrieval_System.pdf; https://repository.ugm.ac.id/33136/; http://www.sersc.org/journals/IJSIP/vol5_no2.php
• Institution: Universitas Gadjah Mada

One of important components in an image retrieval system is selecting a distance measure to compute rank between two objects. In this paper, several distance measures were researched to implement a foliage plant retrieval system. Sixty kinds of foliage plants with various leaf color and shape were used to test the performance of 7 different kinds of distance measures: city block distance, Euclidean distance, Canberra distance, Bray-Curtis distance, 2 statistics, Jensen Shannon divergence and Kullback Leibler divergence. The results show that city block and Euclidean distance measures gave the best performance among the others.