鞋底喷胶轨迹自动生成算法研究  

Research on automatic generation algorithm of glue spraying trajectory of sole

作　　者：周栋锋 李俊峰[1] ZHOU Dongfeng;LI Junfeng(School of Information Science and Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China)

机构地区：[1]浙江理工大学信息科学与工程学院,杭州310018

出　　处：《智能计算机与应用》2023年第9期67-73,共7页Intelligent Computer and Applications

摘　　要：目前,在鞋的生产过程中,片底刷胶都采用人工方式。人工刷胶经常出现溢胶、缺胶的情况,且长期吸入油性胶对人体会产生一定的危害,本文结合自动掩膜生成算法与改进Sobel算法,提出了一种喷胶轨迹自动生成算法。首先,在确定了图像采集环境情况下,对采集的图像像素分布进行分析,通过像素分布情况自动产生掩膜,并对图像进行预处理,减少干扰;其次,利用改进的Sobel算法与边缘细化算法相结合,提取片底的轮廓;最后,对提取轮廓进行内缩,再通过轮廓点数据提取需要的喷胶轨迹点。在开发的实验机台上进行了多次测试实验,实验结果表明:对于不同角度的鞋底,视觉生成轨迹速度在1 s之内,实际加工的速度也在4 s之内;在保证稳定性的前提下,速度、稳定性都高于人工刷胶,完全满足鞋的加工与生产要求。At present,in the production process of shoes,the piece sole brushing glue are used manually.In this paper,we propose an automatic generation algorithm for spraying glue trajectory by combining the automatic mask generation algorithm with the improved Sobel algorithm,since there are often cases of glue overflow and lack of glue,and the long-term inhalation of oily glue will be harmful to human body.Firstly,the image acquisition environment is determined,the pixel distribution of the acquired image is analyzed,the mask is automatically generated by the pixel distribution,and the image is pre-processed to reduce interference;secondly,the improved Sobel algorithm is used in combination with the edge refinement algorithm to extract the contour of the film base;finally,the extracted contour is inwardly shrunk,and then the required glue spray trajectory points are extracted by the contour point data.Several test experiments were conducted on the developed experimental machine,and the experimental results show that:for soles with different angles,the speed of visually generated trajectory is within 1s,and the speed of actual processing is also within 4s;under the premise of ensuring stability,the speed and stability are higher than manual glue brushing,which fully meets the processing and production requirements of shoes.

关 键 词：片底 喷胶 SOBEL算法 预处理 掩膜 

分 类 号：TP237[自动化与计算机技术—检测技术与自动化装置]