胡椒样品中异物的鉴定

2011 IEEE 7th International Colloquium on Signal Processing and its Applications Pub Date : 2011-03-04 DOI:10.1109/CSPA.2011.5759857

D. A. Awang Iskandar, Ng Jo Ling, A. H. Fauzi

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引用次数: 1

摘要

马来西亚胡椒莓的分级过程仍然是半自动的。其中一个分级标准是基于存在于辣椒浆果样品中的外来和外来物质。因此，在本文中，我们提出了图像处理技术来识别异物。我们分析图像中的异物数量，并使用xPepper识别系统对其进行定位。我们的发现表明，图像处理技术简化了手工方法，因为它节省了时间和人力成本。

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Foreign matter identification in Piper Nigrum samples

The process of grading Malaysia Pepper berries are still semi-automatic. One of the grading criteria is based on the extraneous and foreign matters that exist in pepper berries samples. Therefore, in this paper we propose image processing techniques to identify the foreign matter. We analyse the number of foreign matters in the image and locate them using the xPepper Identification System. Our finding shows that image processing techniques eases the manual approach as it saves time and cost of human labour.

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2011 IEEE 7th International Colloquium on Signal Processing and its Applications

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