梁冬泰,陈文明,潘晓彬.冷冻食品切割机安全防护系统识别技术[J].农业机械学报,2015,46(1):45-52.
Liang Dongtai,Chen Wenming,Pan Xiaobin.Detection and Recognition in Security Protection System for Frozen Food Cutting Bandsaw Machine[J].Transactions of the Chinese Society for Agricultural Machinery,2015,46(1):45-52.
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冷冻食品切割机安全防护系统识别技术   [下载全文]
Detection and Recognition in Security Protection System for Frozen Food Cutting Bandsaw Machine   [Download Pdf][in English]
投稿时间:2014-07-15  
DOI:10.6041/j.issn.1000-1298.2015.01.007
中文关键词:  冷冻食品切割机 安全防护系统 颜色目标识别 高斯混合模型 机器视觉 拮抗色理论
基金项目:国家自然科学基金资助项目(51305214)、浙江省自然科学基金资助项目(LQ12E05009)和浙江省教育厅资助项目(Y201017781)
作者单位
梁冬泰 宁波大学
浙江省零件轧制成形技术研究重点实验室 
陈文明 宁波大学 
潘晓彬 宁波大学
浙江省零件轧制成形技术研究重点实验室 
中文摘要:为降低冷冻食品加工中工人操作时手部被割伤的风险,提出基于机器视觉的切割机安全防护系统识别技术,系统利用彩色相机对切割机工作区域进行实时监控,以锯条位置为参考点设置不同的危险区域,对采集的图像进行分析处理,针对工人操作时的手套颜色受照明影响大,提出拮抗色感知颜色特征提取与高斯混合模型分类相结合的目标颜色识别方法,对手套的颜色特征进行分类检测,通过形态学处理与特征量统计判定最终结果,判别工人手部所处的危险等级。实现了整个切割机的安全防护系统设计,其实验测试结果表明,系统能够准确识别不同照明条件下的手套颜色特征,相比HSV和CIE Lab颜色空间,降低了图像处理时间,单幅图像处理时间为39.18ms,具有较好的鲁棒性,满足了安全防护系统实时性和可靠性的要求。
Liang Dongtai  Chen Wenming  Pan Xiaobin
Ningbo University;Zhejiang Province Key Laboratory of Part Rolling Technology,Ningbo University and Ningbo University;Zhejiang Province Key Laboratory of Part Rolling Technology
Key Words:Frozen food cutting bandsaw machine Security protection system Color detection and recognition GMM Machine vision Color opponent process theory
Abstract:In order to reduce the risk of causing harm to the hands of cutting workers in the processing of frozen-fish, the detection and recognition methods for security protection system of cutting machine based on machine vision were proposed. With the workspace of cutting bandsaw under the surveillance of the color camera, the machine vision system divided the surveillance image into different dangerous regions according to the center position of the bandsaw image, and performed image processing on the acquired surveillance images. To overcome the variance of illuminance on the operation gloves of workers, the perceptual color feature recognition method was combined with the Gaussian mixture model to classify the perceptual color features and identify the workers gloves. The final evaluation for which different dangerous regions the workers hands had entered could be given after morphological image processing and statistics from the resulting images. And the machine vision system for security protection of meat cutting bandsaw machine was implemented in the laboratory. The experimental results showed that the proposed perceptual color feature with GMM could accurately identify the color features of the gloves under the variance of illuminance. By comparing with the HSV and CIE Lab color space, the proposed detection and recognition methods could achieve good robustness and have low image processing time cost, averaging at 39.18ms. And the proposed machine vision system could meet the needs of real-time and reliability for security protection system.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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