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工程设计学报
工程设计学报  2008, Vol. 15 Issue (5): 365-368    
机电一体化和智能化系统设计理论、方法与技术     
基于计算机视觉的珍珠形状分级识别技术研究
郑华文, 曹衍龙, 杨将新
浙江大学 现代制造工程研究所,浙江 杭州 310027
Separation method for shape grading of pearls using computer vision
 ZHENG  Hua-Wen, CAO  Yan-Long, YANG  Jiang-Xin
Institute of Modern Manufacture Engineering, Zhejiang University, Hangzhou 310027, China
 全文: PDF(316 KB)   HTML
摘要： 为了解决人工分选珍珠效率低、精度不高等问题,提出了一种基于计算机视觉的珍珠形状分级方法.首先根据珍珠图像的灰度直方图对图像进行分割,并使用闭操作去除图像中噪点,接着用八邻域法搜索珍珠图像的边界,提取珍珠轮廓曲线的傅立叶描述子,再计算被测珍珠与标准模板库珍珠的傅立叶描述子的欧氏距离,根据欧氏距离实现珍珠形状的分级识别.最后实验验证了本方法的有效性和实用性.
关键词： 珍珠分选;  形状识别;  傅立叶描述子;  计算机视觉    
Abstract: A method based on computer vision for recognizing the pearls'  shape is presented to solve the problem of low productivity and low accuracy of peal sort by hand. Firstly, the preprocessed color image is segmented according to its' grey degree histogram. Then the morphological closing operation is adopted to eliminate the noise points in the image. An 8-directional boundary-tracing algorithm is applied to obtain the sequences of the boundary to abstract the Fourier Descriptor of peal's boundary curve. And then the Euclidean distance between the peals under checking and the ones in the standard template library, which is utilized to distinguish the pearls' shape. Finally the experimental result demonstrates the validity and practicability of this method.
Key words: pearl sort    shape distinguishing    Fourier Descriptor    computer vision
出版日期: 2008-10-28
基金资助:

国家高技术研究发展计划（863计划）资助项目（2007AA04Z426）
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郑华文
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引用本文:

郑华文, 曹衍龙, 杨将新. 基于计算机视觉的珍珠形状分级识别技术研究[J]. 工程设计学报, 2008, 15(5): 365-368.

ZHENG Hua-Wen, CAO Yan-Long, YANG Jiang-Xin. Separation method for shape grading of pearls using computer vision[J]. Chinese Journal of Engineering Design, 2008, 15(5): 365-368.

链接本文:

https://www.zjujournals.com/gcsjxb/CN/    或    https://www.zjujournals.com/gcsjxb/CN/Y2008/V15/I5/365

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