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...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | مقال PeerReviewed |
| اللغة: | English |
| منشور في: |
2012
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| الموضوعات: | |
| الوصول للمادة أونلاين: | 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 |
| الوسوم: |
إضافة وسم
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| المؤسسة: | Universitas Gadjah Mada |
| اللغة: | English |
| الملخص: | 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. |
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