Quantification Method for In-Vitro Tissue Culture Plants Morphology using Object Tracking and Digital Image Analysis

Abstract

Manual measurement of morphology variables on In-vitro stored plants usually cause either physical damage ormicroorganism lnfection such that furtner· monitoring at their In-vitro performance Is precluded. This study adapted computer vision technology by wich it is possible to conduct suchimeasurement wlthout physlcal contact or destructive test, Moreover, by applylng object tracking and pattern recognition technique in tlie 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 adjjust pixel amount over the camera distance provide better estimation on leaf area.