[1]康世英,姚 斌.快速连通域标记算法在堆叠棒材计数中的应用研究[J].机械与电子,2018,(11):29-33.
　KANG Shiying,YAO Bin.Research of Counting Stacked Bars Based on the Fast Connected-component Labeling Algorithm[J].Machinery & Electronics,2018,(11):29-33.
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快速连通域标记算法在堆叠棒材计数中的应用研究
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2018年11期
页码:
29-33
栏目:
设计与研究
出版日期:
2018-11-24

文章信息/Info

Title:
Research of Counting Stacked Bars Based on the Fast Connected-component Labeling Algorithm
文章编号:
1001-2257(2018)11-0029-05
作者:
康世英1; 姚 斌2
(1.咸阳师范学院计算机学院,陕西 咸阳 712000; 2.陕西科技大学电气与信息工程学院,陕西 西安 710021)
Author(s):
KANG Shiying1; YAO Bin2
(1.School of Computer Science, Xianyang Normal University, Xianyang 712000, China; 2.College of Electrical and Information Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China)
关键词:
连通域;  图像处理;  棒材计数;  计算机视觉
Keywords:
connected-component;  image processing;  bars counting;  computer vision
分类号:
TP29
文献标志码:
A
摘要:
棒材计数问题是棒材生产、销售企业提高自动化水平的重要瓶颈之一。根据棒材堆叠后图像中目标像素的分布形态特征,提出一种基于图段的快速图像连通域标记方法,用以解决工业生产中堆叠棒材的自动计数问题。首先对堆叠棒材截面图像进行二值化、去噪、分割等预处理,尽量减少图像中棒材间的粘连现象,得到较为清晰的二值图像,然后利用快速连通域标记方法对图像进行标记以完成计数。实验结果表明,提出的方法能快速、准确的实现堆叠棒材的自动计数。
Abstract:
The problem of bars counting is one of the important bottlenecks for improving automation level for bar producing and selling enterprises. A fast image connected-component labeling method based on runs was proposed to solve the problem of automatic counting of stacked bar in industrial production according to the distribution and morphological characteristics of target pixels in the image after stacking. Firstly, image binaryzation, denoising, segmentation and other preprocessing of stacked bar cross section images were processed so as to minimize the adhesion among bars and get a clear binary image. Then, fast connected-component labeling was applied to label the image to complete counting work. Experimental results show that the proposed method can realize the automatic counting of stacked bar quickly and accurately.

参考文献/References:

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[7] 曹长虎,李亚非.一种二值图像连通区域标记快速算法[J].科学技术与工程,2010,10(33):8168-8171.
[8] HE L, ZHAO X, CHAO Y, et al. Configuration- transition-based connected-component labeling [J]. IEEE Transactions on Image Processing, 2014, 23(2): 943-951.
[9] HE L, REN X, GAO Q, et al. The connected-component labeling problem: a review of state-of-the-art algorithms [J]. Pattern Recognition, 2017, 70: 25-43.
[10] 马毅超,陶亚凡,吴龙胜,等.基于FPGA的二值图片连通区域标记算法[J].微电子学与计算机,2017,34(1):119-122.

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备注/Memo

备注/Memo:
收稿日期:2018-07-17
基金项目:国家自然科学基金(61603234)
作者简介:康世英(1980-),女,山西大同人,讲师,研究方向为图像处理、二值图像特征提取。
更新日期/Last Update: 2018-11-24