| 图像处理技术在再生塑料颗粒分拣装置中的应用 |
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| 引用本文： | 张银辉,包能胜,谢荣生,黄学佳.图像处理技术在再生塑料颗粒分拣装置中的应用[J].轻工机械,2009,27(5):89-92. |
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| 作者姓名： | 张银辉 包能胜 谢荣生 黄学佳 |
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| 作者单位： | 1. 汕头大学,智能制造技术教育部重点实验室,广东,汕头,515063;汕头大学,机械电子工程系,广东,汕头,515063
2. 汕头大学,智能制造技术教育部重点实验室,广东,汕头,515063;汕头大学,机械电子工程系,广东,汕头,515063;汕头轻工装备研究院,广东,汕头,515063 |
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| 基金项目： | 广东省自然科学基金资助团队项目，广东省高等学校产学研结合示范基地项目，广东省产业技术研究与开发资金计划项目 |
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| 摘 要： | 文章针对国内塑料回收行业中异色颗粒分拣的需求。设计了一套基于图像处理技术的塑料颗粒分拣装置。并为该装置编写了相应的软件。该装置采用差值处理、阀值处理、膨胀及腐蚀等图像处理技术。根据不同颜色的颗粒在RGB颜色系统中R,G,B3分量的差异进行识别。实验结果表明，基于图像处理技术的塑料颗粒分拣装置分拣效果好，性能可靠，成功地完成了对不同颜色塑料颗粒的自动分拣，分栋效率较人工分拣有极大的提高。
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| 关 键 词： | 图像处理 颜色分拣 再生塑料颗粒 RGB模型 |
Application of Image Processing Technologies in Recycled Plastic Granules Sorting Machine |
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| ZHANG Yin-hui,BAO Neng-sheng,XIE Rong-sheng,HUANG Xue-jia.Application of Image Processing Technologies in Recycled Plastic Granules Sorting Machine[J].Light Industry Machinery,2009,27(5):89-92. |
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| Authors: | ZHANG Yin-hui BAO Neng-sheng XIE Rong-sheng HUANG Xue-jia |
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| Affiliation: | ZHANG Yin-hui, BAO Neng-sheng, XIE Rong-sheng ,HUANG Xue-jia (1. The Education Ministry Key Laboratory of Intelligent Manufacturing Technologies, Shantou University, Shantou 515063, China; 2. Department of Mechatronic Engineering,Shantou University, Shantou 515063 ,China; 3. Shantou Institute for Light Industrial Equipment Research,Shantou 515063, China) |
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| Abstract: | Aiming at the requirement of different color granules sorting in plastics recycling industry in our country, the paper designed a plastic sorting machine based on the image processing technology, and has compiled relevant software Jbr it. This machine adopts these image processing technology such as difference processing, threshold processing, dilation, erosion and so on, and identifies the granules according to the differential of 3-Component （ R, G, B ） of different granules in RGB color system. The experimental results show that the plastic sorting machine based on the image processing technology which owes well sorting effect, reliable performance, and successfully completes sorting the different color plastic granules automatically, and sorting efficiency compared with the manual sorting has improved greatly. |
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| Keywords: | image processing color sorting recycled plastic granules RGB model |
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