A Grading Method for Mangoes on the Basis of Peel Color Measurement Using a Computer Vision System
| Autor: | Akari Sato, Kenjiro Goto, Yoshio Makino, Seiichi Oshita, Masato Tsukada |
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| Rok vydání: | 2016 |
| Předmět: |
Correlation coefficient
business.industry 04 agricultural and veterinary sciences General Medicine Color space 040401 food science 040501 horticulture chemistry.chemical_compound Pigment 0404 agricultural biotechnology Light source chemistry Anthocyanin visual_art visual_art.visual_art_medium Image acquisition Computer vision Color measurement Artificial intelligence 0405 other agricultural sciences business Hue Mathematics |
| Zdroj: | Agricultural Sciences. :327-334 |
| ISSN: | 2156-8561 2156-8553 |
| DOI: | 10.4236/as.2016.76033 |
| Popis: | An objective grading method using a Computer Vision System (CVS) for mangoes is proposed. Red peel was selected using two types of color space values at chroma = 22 and hue angle = 52°. Eighteen out of 25 fully-ripened fruits were graded as “excellent,” determined by the share of red area per fruit being in the range of 80% - 100%. In contrast, all green-mature fruits were graded as “fair,” where the share of red area per fruit was - 0.0542x + 7.83), with a correlation coefficient accuracy of 0.94 and root mean square error of 1.31 mg·kg-1. This result may be effective for the visualization of anthocyanin distribution on mango skin. The threshold for red peel can be in the range of 131 - 186 mg·kg-1. This suggests that the pigment concentration is usable as a universal threshold. This value is unaffected by conditions for image acquisition or color measurement (e.g., light source, sensor, filter, and optical geometry), unlike color space values as hue angle. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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