A longan damage detection method based on DSP
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Graphical Abstract
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Abstract
A damage longan rapid detection method based on image recognition was designed for small agricultural products vision sorting machine based on DSP. The method first extracted the color components R and G of longan image,according to the characteristics of R-G value segmentation longan shell region,and found the longan observation area;secondly,with the help of shell edge,calculated the approximate area of the minimum circumscribed circle. Finally,according to the ratio of observation area and minimum circumscribed circle area to determine the longan's damage. A total of 792 longan samples contained broken and intact shell were tested,the results showed that,the sorting accuracy rate reached 86.24%. The detection method is simple,fast and has certain accuracy,and it is also suitable for the separation of most small spherical fruits.
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