一种基于物体特征提取的棒材快速计数方法  

A Fast Bar Counting Method Based on Object Feature Extraction

作　　者：赵晓[1] 何立风 张辉[1] 姚斌[1] ZHAO Xiao;HE Lifeng;ZHANG Hui;YAO Bin(School of Electronic Information and Artificial Intelligence,Shaanxi University of Science and Technology,Xi’an Shaanxi 710021,China;Faculty of Information Science and Technology,Aichi Prefectural University,Aichi 480-1198,Japan)

机构地区：[1]陕西科技大学电子信息与人工智能学院,陕西西安710021 [2]日本爱知县立大学信息科学学院,日本爱知480-1198

出　　处：《机床与液压》2021年第15期93-96,117,共5页Machine Tool & Hydraulics

基　　金：国家自然科学基金面上项目(61971272);国家自然科学基金青年科学基金项目(61601271);陕西科技大学博士启动基金资助项目(2019BJ-27)。

摘　　要：棒材计数的自动化水平是衡量企业智能化、信息化程度的一个重要方面。根据堆叠棒材图像中棒材像素的分布特征,提出一种基于物体特征提取的棒材快速计算方法,用以解决生产、生活中堆叠棒材快速计数问题。利用连通域标记算法对棒材二值图像中的物体像素进行标记处理并统计物体特征值,根据物体特征值进行堆叠棒材的自动计算。整个处理过程仅需要扫描图像一遍。实验结果表明:所提方法能够快速、准确实现堆叠棒材的自动计数。The automation level of bar counting is one of the important aspects for measuring the intelligence and informatization degree of enterprises.A fast bar counting method based on object features extraction was proposed to solve the problem of rapid counting of stacked bars in production and life according to the distribution characteristics of target pixels in the binary image.The efficient con⁃nected⁃component labeling algorithm was use to label the object pixels in the bar binary image and count the object feature value.Ac⁃cording to the object feature value,the automatic calculation of stacked bar was carried out.The bar image only needs to be scanned one time during the entire processing.The experimental results show that by using the proposed method,the automatic counting of stacked bars can be realize quickly and accurately.

关 键 词：棒材计数 图像处理 特征值提取 连通域标记 

分 类 号：TS727[轻工技术与工程—制浆造纸工程] TP391[自动化与计算机技术—计算机应用技术]