Abstract : In the perspective of actual production, the paper presents the
advances in the application of image processing fruit grading from
several aspects, such as processing precision and processing speed of
image processing technology. Furthermore, the different algorithms about
detecting size, shape, color and defects are combined effectively to
reduce the complexity of each algorithm and achieve a balance between
the processing precision and processing speed are keys to automatic
apple grading.
Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.168-174, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_21〉
https://hal.inria.fr/hal-01220911
Contributeur : Hal Ifip
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Soumis le : mardi 27 octobre 2015 - 10:00:13
Dernière modification le : mercredi 17 janvier 2018 - 10:44:15
Document(s) archivé(s) le : jeudi 28 janvier 2016 - 10:33:24
Chengjun Fang, Chunjian Hua. Advances in the Application of Image Processing Fruit Grading. Daoliang Li; Yingyi Chen. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-419 (Part I), pp.168-174, 2014, Computer and Computing Technologies in Agriculture VII. 〈10.1007/978-3-642-54344-9_21〉. 〈hal-01220911〉
