Study on jujube size-grading system based on computer vision

Study on jujube size-grading system based on computer vision
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DOI:
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发表时间:
2013
期刊:
Food and Machinery
影响因子:
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通讯作者:
Shichao Jia
Shichao Jia
中科院分区:
其他
文献类型:
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作者:
Shichao Jia

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利用STM32F407高性能、低成本的特点,结合嵌入式机器视觉技术,设计了一种枣嵌入式机器视觉分级系统。首先通过摄像机获取新鲜枣的图像,经过一系列的图像预处理,然后利用轮廓上两点之间的最大距离来测量纵向直径。最后,实现粒度分级。实验结果表明,该分级系统速度快、结构简单、成本低,在红枣质量检测和分级中具有较高的实用价值。
Using the high-performance and low-cost feature of STM32F407,combining with the embedded machine vision technology,designed a jujubes embedded machine visual grading system. Firstly,got fresh jujube image by camera,through a series of image preprocessing,and then used the maximum distance between two points on the contour to measure longitudinal diameter.Finally,realize the size-grading.The experimental result showed that the grading system was high-speed,simple-structure and low-cost,and had high practical value in jujube quality detection and classification.