Experiments of Distance Measurements in a Foliage Plant Retrieval System
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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article PeerReviewed |
| Language: | English |
| Published: |
2012
|
| Subjects: | |
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universitas Gadjah Mada |
| Language: | English |
| Summary: | 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. |
|---|