| publication name | Malformations characterization of the Potato Tuber Moth (PTM) pupae infested by Phthormae Operculella Granulovirus (PoGV) using Image processing based analysis |
|---|---|
| Authors | Ahmed G. Abdel hameed; Shimaa M.El Desouki and Khalid A. El Dougdoug |
| year | 2014 |
| keywords | Image processing - POGV |
| journal | International Journal of Virology |
| volume | 10 |
| issue | 2 |
| pages | 157-162 |
| publisher | Not Available |
| Local/International | International |
| Paper Link | Not Available |
| Full paper | download |
| Supplementary materials | Not Available |
Abstract
Abstract: Malformative features of the Potato Tuber Moth (PTM) pupae infested by Phthorimaea operculella Granulovirus (POGV) were shown to little extend by the macro morphological criteria depending on the naked eye based vision to follow changes in size, shape and color. As defined in this work, image processing and analysis proved to be useful for evaluating representative parameters of morphological characters such as size (area, area fraction, feret measurements, perimeter, major and minor axis and Aspect Ratio (AR) and shape parameters (circularity and round parameters). Thus, the demonstration of morphological changes in terms of numerical analysis (mathematical morphology) could be adopted to express variations at the structural level which was enriched by other operations as Pixel Plot Profile and histogram. Thus, Using image processing and analysis in morphometry or mathematical morphology was intense and promising.