Prilianti, Kestrilia Rega and Buono, Agus and ., Sutoro and Hermadi, Irman (2008) Quantification Method for In-Vitro Tissue Culture Plants Morphology using Object Tracking and Digital Image Analysis. Proceedings : International Conference on Advanced Computational Intelligence and Its Application (ICACIA 2008). pp. 39-44. ISSN 978-979-98352-5-3
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Abstract
Manual measurement of morphology variables on in-vitro stored plants usually cause either physical damage or microorganism infection such that further monitoring of their in-vitro performance is precluded. This study adapted computer vision technology by which it is possible to conduct such measurement without physical contact or destructive test. Moreover, by applying object tracking and pattern recognition technique in the algorithm, the system could provide automatic and real time analysis. It was shown that this quantification method reach 80.2% and 87.9% in the measurement of leaf area and chlorophyll intensity. Intensity histogram and Fourier spectrum found to be the best feature for leaf recognition and interpolation usage to adjust pixel amount over the camera distance provide better estimation on leaf area.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Image analysis, in-vitro, morphology, object tracking, pattern recognition, tissue culture |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Academic Department > Department of Mathematics and Natural Science |
| Depositing User: | Kestrilia Rega Prilianti 61150 |
| Date Deposited: | 03 Aug 2012 03:39 |
| Last Modified: | 03 Aug 2012 03:39 |
| URI: | http://repository.ubaya.ac.id/id/eprint/902 |
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