Abstract
The vision characteristics-based on image detection techniques are functional method, which are appropriate for many industrial and agricultural applications. The color detection method is such a technique for non-destructive grading of the grape after the harvest process, which have been widely used in a variety of fruits’ quality inspection and grading aspects based on vision computing method. However, the shapes of the entire bunch of grapes are obviously different with each other, which will influence the accuracy of non-destructive detection. This work develops a method for image detection and color grading of red and black grape samples, which uses vision computing technology to extract the effective color features of red and black grape samples, the experimental results show that the effective region extraction and color detection algorithms are feasible for color detection of grape.
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Acknowledgements
This research was supported by the Fundamental Research Funds for the Central Universities (grant nos. 2662015QC028 and 2662015PY066), and the National Natural Science Foundation of China (grant nos. 61176052 and 61432007).
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Wang, Y. et al. (2017). Automatic Color Detection of Grape Based on Vision Computing Method. In: Xhafa, F., Patnaik, S., Yu, Z. (eds) Recent Developments in Intelligent Systems and Interactive Applications. IISA 2016. Advances in Intelligent Systems and Computing, vol 541. Springer, Cham. https://doi.org/10.1007/978-3-319-49568-2_53
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DOI: https://doi.org/10.1007/978-3-319-49568-2_53
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