A morphology-based algorithm for label location and identification

Zhengang Nie; Xiaolin Zhang; Xinxin Yang

doi:10.1117/12.631603

A morphology-based algorithm for label location and identification

Zhengang Nie^*
, Xiaolin Zhang
, Xinxin Yang

^*Corresponding author for this work

School of Electronic and Information Engineering

Beihang University

Research output: Contribution to journal › Conference article › peer-review

Abstract

Label location and recognition has become a crucial task for today's Unmanned Aerial Vehicles. We proposed a morphology-based algorithm to locate and recognize labels. This algorithm is insensitive to scaling and rotation, and able to work at low resolution. The label positioning and recognition strategy we designed is divided into two steps. First, at the altitude of 10m or so, we apply dilation processing and edge detection on the images sent back by UAV. Then combining the current heading information of the vehicle, we are able to give the topology map of all labels. After that the vehicle is lowered to about 5m and we apply erosion processing on the returned image and then recognize each label using image measurement and image analysis methods. The validity of this algorithm is well verified at ARCC 2004.

Original language	English
Pages (from-to)	929-936
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5960
Issue number	2
DOIs	https://doi.org/10.1117/12.631603
State	Published - 2005
Event	Visual Communications and Image Processing 2005 - Beijing, China Duration: 12 Jul 2005 → 15 Jul 2005

Keywords

Image measurement
Label location
Label recognition
Morphology

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10.1117/12.631603

Cite this

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title = "A morphology-based algorithm for label location and identification",

abstract = "Label location and recognition has become a crucial task for today's Unmanned Aerial Vehicles. We proposed a morphology-based algorithm to locate and recognize labels. This algorithm is insensitive to scaling and rotation, and able to work at low resolution. The label positioning and recognition strategy we designed is divided into two steps. First, at the altitude of 10m or so, we apply dilation processing and edge detection on the images sent back by UAV. Then combining the current heading information of the vehicle, we are able to give the topology map of all labels. After that the vehicle is lowered to about 5m and we apply erosion processing on the returned image and then recognize each label using image measurement and image analysis methods. The validity of this algorithm is well verified at ARCC 2004.",

keywords = "Image measurement, Label location, Label recognition, Morphology",

author = "Zhengang Nie and Xiaolin Zhang and Xinxin Yang",

year = "2005",

doi = "10.1117/12.631603",

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volume = "5960",

pages = "929--936",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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number = "2",

note = "Visual Communications and Image Processing 2005 ; Conference date: 12-07-2005 Through 15-07-2005",

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TY - JOUR

T1 - A morphology-based algorithm for label location and identification

AU - Nie, Zhengang

AU - Zhang, Xiaolin

AU - Yang, Xinxin

PY - 2005

Y1 - 2005

N2 - Label location and recognition has become a crucial task for today's Unmanned Aerial Vehicles. We proposed a morphology-based algorithm to locate and recognize labels. This algorithm is insensitive to scaling and rotation, and able to work at low resolution. The label positioning and recognition strategy we designed is divided into two steps. First, at the altitude of 10m or so, we apply dilation processing and edge detection on the images sent back by UAV. Then combining the current heading information of the vehicle, we are able to give the topology map of all labels. After that the vehicle is lowered to about 5m and we apply erosion processing on the returned image and then recognize each label using image measurement and image analysis methods. The validity of this algorithm is well verified at ARCC 2004.

AB - Label location and recognition has become a crucial task for today's Unmanned Aerial Vehicles. We proposed a morphology-based algorithm to locate and recognize labels. This algorithm is insensitive to scaling and rotation, and able to work at low resolution. The label positioning and recognition strategy we designed is divided into two steps. First, at the altitude of 10m or so, we apply dilation processing and edge detection on the images sent back by UAV. Then combining the current heading information of the vehicle, we are able to give the topology map of all labels. After that the vehicle is lowered to about 5m and we apply erosion processing on the returned image and then recognize each label using image measurement and image analysis methods. The validity of this algorithm is well verified at ARCC 2004.

KW - Image measurement

KW - Label location

KW - Label recognition

KW - Morphology

UR - https://www.scopus.com/pages/publications/32544445955

U2 - 10.1117/12.631603

DO - 10.1117/12.631603

M3 - 会议文章

AN - SCOPUS:32544445955

SN - 0277-786X

VL - 5960

SP - 929

EP - 936

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

IS - 2

T2 - Visual Communications and Image Processing 2005

Y2 - 12 July 2005 through 15 July 2005

ER -

A morphology-based algorithm for label location and identification

Abstract

Keywords

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