Measurement of 3-DOF Planar Motion of the Object Based on Image Segmentation and Matching

Shuming Yang; Xinyu Shi; Guofeng Zhang; Changshuo Lv; Xiaokai Yang

doi:10.1007/s41871-019-00041-7

Measurement of 3-DOF Planar Motion of the Object Based on Image Segmentation and Matching

Shuming Yang
, Xinyu Shi
, Guofeng Zhang
, Changshuo Lv
, Xiaokai Yang

School of Mechanical Engineering

Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

This paper presents a new method for measuring the planar motion based on image segmentation and matching. A measuring system is designed to fix the camera on the planar moving object and collect the image of the motion plane continuously. Matching points are extracted from two images before and after movement by speed up robust features operator to calculate the three-degree-of-freedom (3-DOF) planar motion parameters, so the measurement of global motion including translational and rotary movement is realized. A segment-match strategy with global and local matching after image mapping by bilinear interpolation is proposed to improve the computing speed so as to realize real-time measurement.

Original language	English
Pages (from-to)	124-129
Number of pages	6
Journal	Nanomanufacturing and Metrology
Volume	2
Issue number	2
DOIs	https://doi.org/10.1007/s41871-019-00041-7
State	Published - 1 Jun 2019

Keywords

Image matching
Image processing
Image segmentation
Planar motion

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10.1007/s41871-019-00041-7

Cite this

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title = "Measurement of 3-DOF Planar Motion of the Object Based on Image Segmentation and Matching",

abstract = "This paper presents a new method for measuring the planar motion based on image segmentation and matching. A measuring system is designed to fix the camera on the planar moving object and collect the image of the motion plane continuously. Matching points are extracted from two images before and after movement by speed up robust features operator to calculate the three-degree-of-freedom (3-DOF) planar motion parameters, so the measurement of global motion including translational and rotary movement is realized. A segment-match strategy with global and local matching after image mapping by bilinear interpolation is proposed to improve the computing speed so as to realize real-time measurement.",

keywords = "Image matching, Image processing, Image segmentation, Planar motion",

author = "Shuming Yang and Xinyu Shi and Guofeng Zhang and Changshuo Lv and Xiaokai Yang",

note = "Publisher Copyright: {\textcopyright} 2019, International Society for Nanomanufacturing and Tianjin University and Springer Nature Singapore Pte Ltd.",

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doi = "10.1007/s41871-019-00041-7",

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AU - Yang, Shuming

AU - Shi, Xinyu

AU - Zhang, Guofeng

AU - Lv, Changshuo

AU - Yang, Xiaokai

PY - 2019/6/1

Y1 - 2019/6/1

N2 - This paper presents a new method for measuring the planar motion based on image segmentation and matching. A measuring system is designed to fix the camera on the planar moving object and collect the image of the motion plane continuously. Matching points are extracted from two images before and after movement by speed up robust features operator to calculate the three-degree-of-freedom (3-DOF) planar motion parameters, so the measurement of global motion including translational and rotary movement is realized. A segment-match strategy with global and local matching after image mapping by bilinear interpolation is proposed to improve the computing speed so as to realize real-time measurement.

AB - This paper presents a new method for measuring the planar motion based on image segmentation and matching. A measuring system is designed to fix the camera on the planar moving object and collect the image of the motion plane continuously. Matching points are extracted from two images before and after movement by speed up robust features operator to calculate the three-degree-of-freedom (3-DOF) planar motion parameters, so the measurement of global motion including translational and rotary movement is realized. A segment-match strategy with global and local matching after image mapping by bilinear interpolation is proposed to improve the computing speed so as to realize real-time measurement.

KW - Image matching

KW - Image processing

KW - Image segmentation

KW - Planar motion

UR - https://www.scopus.com/pages/publications/85079891238

U2 - 10.1007/s41871-019-00041-7

DO - 10.1007/s41871-019-00041-7

M3 - 文章

AN - SCOPUS:85079891238

SN - 2520-811X

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SP - 124

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JO - Nanomanufacturing and Metrology

JF - Nanomanufacturing and Metrology

IS - 2

ER -

Measurement of 3-DOF Planar Motion of the Object Based on Image Segmentation and Matching

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Keywords

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