Bananas were chilled at 6°C and the appearance of brown spots when exposed to ambient air, a
phenomenon known as chilling injury (CI), was detected using computer vision. The system consisted
of a digital colour camera for acquiring images, an illumination set-up for uniform lighting, a computer
for receiving, storing and displaying of images and software for analyzing the images. The RGB colour
space values of the images were transformed into that of HSI colotir space which is intuitive to human
vision. Visual assessment of CI by means of a browning scale was used as a reference and correlation
between this reference values and hue was investigated. Results of the computer vision study successfully
demonstrate the potential of the system in substituting visual assessment in the evaluation of CI in bananas.
The results indicate significant influence, at a=0.05, of treatment days and temperature on hue. A strong
correlation was also found between hue and visual assessment with R>0.85.
Bananas were chilled at 6°C and the appearance of brown spots when exposed to ambient air, aphenomenon known as chilling injury (CI), was detected using computer vision. The system consistedof a digital colour camera for acquiring images, an illumination set-up for uniform lighting, a computerfor receiving, storing and displaying of images and software for analyzing the images. The RGB colourspace values of the images were transformed into that of HSI colotir space which is intuitive to humanvision. Visual assessment of CI by means of a browning scale was used as a reference and correlationbetween this reference values and hue was investigated. Results of the computer vision study successfullydemonstrate the potential of the system in substituting visual assessment in the evaluation of CI in bananas.The results indicate significant influence, at a=0.05, of treatment days and temperature on hue. A strongcorrelation was also found between hue and visual assessment with R>0.85.
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