An Adapted Vision Measurement Method for Package Volume Based on Kinect

被引：0

作者：

Li, Ling ^{[1
]}

Zhuang, Xingchang ^{[1
]}

Chen, Li ^{[1
]}

Liu, Bo ^{[1
]}

Wang, Tingting ^{[1
]}

机构：

[1] Hohai Univ, Coll Mech & Elect Engn, Chang Zhou, Peoples R China

来源：

2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) | 2017年

基金：

美国国家科学基金会;

关键词：

vision measurement; image processing; Kinect; depth image;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present a method for measuring package volume with multi-source vision sensor -Kinect. Firstly, the foreground segmentation and the algorithm of minimum-area bounding rectangle are used to computed the package dimensions. Secondly, the height of package is obtained by background subtraction method. Finally, the package volume is calculated by integration method. The experimental results show that the relative error is less than 4.10%, which improves the efficiency and accuracy of package volume measurement. This method has the features of non-contact and non-stop run. It can be adapted to different applications.

引用

页码：918 / 922

页数：5

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