Flaw inspection method for image tube based on image processing

Ji Hui Wang; Wei Qi Jin; Xia Wang; Yue Gao; Zhi Yun Gao

Flaw inspection method for image tube based on image processing

Ji Hui Wang^*, Wei Qi Jin, Xia Wang, Yue Gao, Zhi Yun Gao

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

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

2 Citations (Scopus)

Abstract

A flaw inspection method for image tube is introduced based on threshold segmentation of image and morphological filter of mathematical morphology. The algorithm realized automatic flaw inspection of image tube through filtering the binary image by morphological filter, after processed by threshold segmentation. The result inspected by image processing is the same with eyes. The results of experiments proved the efficiency of the proposed approach in practical applications.

Original language	English
Pages (from-to)	463-464+467
Journal	Guangxue Jishu/Optical Technique
Volume	31
Issue number	3
Publication status	Published - May 2005

Keywords

Flaw
Mathematical morphology
Threshold segmentation

Cite this

Wang, J. H., Jin, W. Q., Wang, X., Gao, Y., & Gao, Z. Y. (2005). Flaw inspection method for image tube based on image processing. Guangxue Jishu/Optical Technique, 31(3), 463-464+467.

@article{85c39827cfcb4d4c9d22e449076929d6,

title = "Flaw inspection method for image tube based on image processing",

abstract = "A flaw inspection method for image tube is introduced based on threshold segmentation of image and morphological filter of mathematical morphology. The algorithm realized automatic flaw inspection of image tube through filtering the binary image by morphological filter, after processed by threshold segmentation. The result inspected by image processing is the same with eyes. The results of experiments proved the efficiency of the proposed approach in practical applications.",

keywords = "Flaw, Mathematical morphology, Threshold segmentation",

author = "Wang, {Ji Hui} and Jin, {Wei Qi} and Xia Wang and Yue Gao and Gao, {Zhi Yun}",

year = "2005",

month = may,

language = "English",

volume = "31",

pages = "463--464+467",

journal = "Guangxue Jishu/Optical Technique",

issn = "1002-1582",

publisher = "Optical Technique",

number = "3",

}

TY - JOUR

T1 - Flaw inspection method for image tube based on image processing

AU - Wang, Ji Hui

AU - Jin, Wei Qi

AU - Wang, Xia

AU - Gao, Yue

AU - Gao, Zhi Yun

PY - 2005/5

Y1 - 2005/5

N2 - A flaw inspection method for image tube is introduced based on threshold segmentation of image and morphological filter of mathematical morphology. The algorithm realized automatic flaw inspection of image tube through filtering the binary image by morphological filter, after processed by threshold segmentation. The result inspected by image processing is the same with eyes. The results of experiments proved the efficiency of the proposed approach in practical applications.

AB - A flaw inspection method for image tube is introduced based on threshold segmentation of image and morphological filter of mathematical morphology. The algorithm realized automatic flaw inspection of image tube through filtering the binary image by morphological filter, after processed by threshold segmentation. The result inspected by image processing is the same with eyes. The results of experiments proved the efficiency of the proposed approach in practical applications.

KW - Flaw

KW - Mathematical morphology

KW - Threshold segmentation

UR - http://www.scopus.com/inward/record.url?scp=20144376499&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:20144376499

SN - 1002-1582

VL - 31

SP - 463-464+467

JO - Guangxue Jishu/Optical Technique

JF - Guangxue Jishu/Optical Technique

IS - 3

ER -

Flaw inspection method for image tube based on image processing

Abstract

Keywords

Other files and links

Fingerprint

Cite this