摘要
针对目前人工选茧误选率高、效率低的问题,本文以上车茧、黄斑茧、烂茧为研究对象,提出一种基于多尺度色彩恢复算法与注意力机制的群体蚕茧智能识别算法。首先,将原始图像进行低通滤波,并乘以色彩恢复因子,在多尺度内恢复蚕茧色彩与表面细节信息,得到多尺度高频细节图像。其次,通过修改YOLOv3算法主干特征提取网络中的残差层引入注意力机制,对卷积后特征图中的分支特征重新标定,增大有效特征的权重。最后,在非极大值抑制算法基础上增加一项得分与相邻框重合度计算过程,筛除YOLOv3后期无效预测框,实现群体蚕茧种类识别。实验结果表明,本文算法的均值平均精度达到85.52%,相较于YOLOv3增加4.85%。
Silk,as a"national treasure"that has accumulated thousands of years of civilization,is one of the very few advantageous industries in China that can dominate the international market.The silk industry plays an economic,ecological and social role,and has made important contributions to farmers’prosperity,employment expansion,ecological protection and export earnings.The quality of silk is closely related to the control of the type of cocoon at the sorting stage.Sensory testing is still the main mode of cocoon sorting in China at this stage,that is,the silk reeling enterprise requires inspectors to classify the raw material cocoon according to national standards by original methods such as eye and hand touch.Cocoon sorting requires a high quality of inspectors who should not only have rich experience in sorting,standardized operation and smooth vision,but also have a deep understanding of the technical standards for cocoon sorting.The high technical requirements are a test for the technical personnel of the enterprise and increase the management and training costs of the enterprise.In order to solve the problems of high labor cost and low efficiency in the traditional sorting process,this paper implements the intelligent identification of group cocoon species based on multi-scale retinex with color restoration and convolution block attention module.Because the surface of the cocoon collected in the experiment is susceptible to light,some areas are less visible.In this paper,from the perspective of restoring the surface color of the cocoon,multi-scale color recovery of the collected images is carried out.The MSRCR algorithm uses the Gaussian function to perform low-pass filtering on the original map of the cocoon at multiple scales to highlight the defect characteristics of the surface.In order to solve the problem of distortion of cocoon images due to local contrast enhancement,this paper uses color recovery factors to highlight the information of darker areas.Secondly,when the YOLOv3 algorithm is applied to the
作者
孙卫红
杨程杰
邵铁锋
梁曼
郑健
SUN Weihong;YANG Chengjie;SHAO Tiefeng;LIANG Man;ZHENG Jian(College of Mechanical and Electrical Engineering,China Jiliang University,Hangzhou 310018,China;Cocoon and Silk Quality Inspection Technology Institute,China Jiliang University,Hangzhou 310018,China;Jiangxi Market Supervision Management Quality and Safety Inspection Center,Nanchang 330096,China)
出处
《丝绸》
CAS
CSCD
北大核心
2022年第6期58-65,共8页
Journal of Silk
基金
国家市场监管总局科技计划项目(S2021MK0217)
浙江省公益技术应用研究项目(LGG20E050014)
江西省市场监督管理局科技项目(GSJK202003)。
