Chinese Date Detecting and Grading Method with Computer Vision

Fu Juan Wang; Zheng Wei Xia

doi:10.4028/www.scientific.net/AMR.671-674.3161

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 671-674Chinese Date Detecting and Grading Method with...

Chinese Date Detecting and Grading Method with Computer Vision

Abstract:

In order to implement the accuracy and robust classification of Chinese dates by size, shape and defect with computer vision techniques on line, the method of classification by size, shape and defect at the same was studied. Three different profile image of a Chinese date were gained for size classification by computing the longest axis and the value was used to be the character value for size classification. Shape classification was accomplished by computing the eccentricity. Misshapen Chinese dates were detected by computing sampling normalized radius difference absolute values. The experiments results proved the methods is effective to classify Chinese date by size ,shape and defect at the same time.

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Periodical:

Advanced Materials Research (Volumes 671-674)

Pages:

3161-3164

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.671-674.3161

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Online since:

March 2013

Authors:

Fu Juan Wang, Zheng Wei Xia

Keywords:

Chinese Date, Computer Vision, Detecting, Grading

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References

[1] Laylin, S V, Alchanatis, E Fallik et al. Image-Processing Algorithms for Tomato Classification[J]. Transactions of the ASAE 2002, 45(3): 851~858.

DOI: 10.13031/2013.8838

Google Scholar

[2] Bundit Jarimopas, Nitipong Jaisin. An experimental machine vision system for sorting sweet tamarind[J]. Journal of Food Engineering. 2008, 89: 291–297.

DOI: 10.1016/j.jfoodeng.2008.05.007

Google Scholar

[3] Li Xiuzhi. Study on apple shape grading system based on machine vision [D]. Nanjing agriculture university, (2003).

Google Scholar

[4] Lin Kaiyan, Wu Junhui, Xu Lihong. Separation approach for shape grading of fruits using computer vision [J]. Transactions of the Chinese Society for Agricultural Machinery, 2005, 36(6): 71~74.

Google Scholar

[5] Ying Yibin, Gui Jiangsheng, Rao Xiuqin. Fruit shape grading based on Zernike [J]. Journal of Jiangsu University: Natural Science Edition, 2007, 28(1): 1~3.

Google Scholar

[6] Feng Bin, Wang Maohua. Detecting method of fruit size based on computer vision[J]. Transactions of the Chinese Society for Agricultural Machinery, 2003, 34(1): 73~75.

Google Scholar

[7] Ying Yibin. New Method to Identify Shape, Size and Surface Defect of Huanghua Pear with Machine Vision[C]. 99'ICAE V: 150~156.

Google Scholar

[8] Feng Bin. Study on computer vision information process method and fruit grading and detecting technology [D]. Beijing: China agricultural university, (2002).

Google Scholar

[9] zhang Junxiong. Restoration of motion blurred images in citrus grading based on machine vision [D]. Beijing: China agricultural university, (2007).

Google Scholar