| Investigating the changes of red color intensity and brightness in commercial tomato hybrid (Amaris) using image processing technique |
| Paper ID : 1237-NICAME1402 |
| Authors: |
|
atena heidarian *1, Fatemeh Rahimi Ajdadi2, jamalali olfati3, hedayat zakizadeh3 1Horticultural Sciences, Faculty of Agricultural Sciences, Gilan University, Gilan City, Iran 2Department of Biosystems Engineering, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran 3Department of Horticultural Sciences, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran |
| Abstract: |
| The lack of a simple, quick and cheap method to evaluate the marketability of hybrid tomatoes has always been one of the problems in the development, trade and export of this product. In the current research, two important marketability indicators based on image processing technique, including red color intensity and brightness, were used to identify the qualitative changes of different Amaris variety tomato hybrids. The corresponding measurement was done at the time of puberty. 76 plants were planted in the greenhouse and the fruits were harvested after ripening. The images were extracted using a controlled light chamber and the images were converted from the RGB color space to L*a*b*. Extraction of color features for red color intensity index was done with R component of RGB color space and for brightness index with L* component of L*a*b color space. Examination of color indices showed that these data follow normal distribution in both generations. The average of two generations did not show a significant difference. The share of genetic variance and the degree of heritability indicate the quality of these traits. The result of the chi test of these traits was not significant, and as a result, there was no difference between the observed frequencies and the expected frequencies. The lack of difference between two generations for these traits means that heterosis plays a weak role in controlling these traits. The results of this research show the effective use of image processing techniques and color features to quantify the marketability of tomatoes. |
| Keywords: |
| Image processing, L*a*b* color space, quantitative attributes, RGB color space |
| Status : Paper Accepted (Poster Presentation) |
