Detection of uninformative regions in wireless capsule endoscopy images

Mahdi Alizadeh; Kaveh Sharzehi; Alireza Talebpour; Hamid Soltanian-Zadeh; Hoda Eskandari; Omid Haji Maghsoudi

doi:10.1109/NEBEC.2015.7117143

Detection of uninformative regions in wireless capsule endoscopy images

Mahdi Alizadeh, Kaveh Sharzehi, Alireza Talebpour, Hamid Soltanian-Zadeh, Hoda Eskandari, Omid Haji Maghsoudi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Wireless capsule endoscopy (WCE) is able to investigate the entire gastrointestinal tract including the small bowel. To reduce the reviewing time of captured images by gastroenterologists and increasing the accuracy rate for automatic detection of abnormalities, it is beneficial to remove regions which have less or no clinical information of small bowel texture (i.e., uninformative regions). In this research study, a multi-stage method including Chan-Vese, color range ratio, adaptive gamma correction method (AGCM), canny color edge detection operator, and morphological processing is proposed to detect these uninformative regions. The results support the effectiveness of the proposed method. In conclusion, the proposed method is a simple method to implement and performed well in removing the uninformative regions of small bowel images.

Original language	English (US)
Title of host publication	2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479983605
DOIs	https://doi.org/10.1109/NEBEC.2015.7117143
State	Published - Jun 2 2015
Externally published	Yes
Event	2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015 - Troy, United States Duration: Apr 17 2015 → Apr 19 2015

Publication series

Name	2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015

Conference

Conference	2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
Country/Territory	United States
City	Troy
Period	4/17/15 → 4/19/15

Keywords

Chan-Vese active contour
Color Range Ratio
Wireless Capsule Endoscopy
segmentation
texture extraction

ASJC Scopus subject areas

Biotechnology
Cancer Research
Cell Biology
Molecular Medicine
Biomedical Engineering
Control and Systems Engineering

Access to Document

10.1109/NEBEC.2015.7117143

Cite this

Alizadeh, M., Sharzehi, K., Talebpour, A., Soltanian-Zadeh, H., Eskandari, H., & Maghsoudi, O. H. (2015). Detection of uninformative regions in wireless capsule endoscopy images. In 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015 Article 7117143 (2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NEBEC.2015.7117143

Detection of uninformative regions in wireless capsule endoscopy images. / Alizadeh, Mahdi; Sharzehi, Kaveh; Talebpour, Alireza et al.
2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7117143 (2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Alizadeh, M, Sharzehi, K, Talebpour, A, Soltanian-Zadeh, H, Eskandari, H & Maghsoudi, OH 2015, Detection of uninformative regions in wireless capsule endoscopy images. in 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015., 7117143, 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015, Institute of Electrical and Electronics Engineers Inc., 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015, Troy, United States, 4/17/15. https://doi.org/10.1109/NEBEC.2015.7117143

Alizadeh M, Sharzehi K, Talebpour A, Soltanian-Zadeh H, Eskandari H, Maghsoudi OH. Detection of uninformative regions in wireless capsule endoscopy images. In 2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7117143. (2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015). doi: 10.1109/NEBEC.2015.7117143

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title = "Detection of uninformative regions in wireless capsule endoscopy images",

abstract = "Wireless capsule endoscopy (WCE) is able to investigate the entire gastrointestinal tract including the small bowel. To reduce the reviewing time of captured images by gastroenterologists and increasing the accuracy rate for automatic detection of abnormalities, it is beneficial to remove regions which have less or no clinical information of small bowel texture (i.e., uninformative regions). In this research study, a multi-stage method including Chan-Vese, color range ratio, adaptive gamma correction method (AGCM), canny color edge detection operator, and morphological processing is proposed to detect these uninformative regions. The results support the effectiveness of the proposed method. In conclusion, the proposed method is a simple method to implement and performed well in removing the uninformative regions of small bowel images.",

keywords = "Chan-Vese active contour, Color Range Ratio, Wireless Capsule Endoscopy, segmentation, texture extraction",

author = "Mahdi Alizadeh and Kaveh Sharzehi and Alireza Talebpour and Hamid Soltanian-Zadeh and Hoda Eskandari and Maghsoudi, {Omid Haji}",

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doi = "10.1109/NEBEC.2015.7117143",

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AU - Alizadeh, Mahdi

AU - Sharzehi, Kaveh

AU - Talebpour, Alireza

AU - Soltanian-Zadeh, Hamid

AU - Eskandari, Hoda

AU - Maghsoudi, Omid Haji

PY - 2015/6/2

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N2 - Wireless capsule endoscopy (WCE) is able to investigate the entire gastrointestinal tract including the small bowel. To reduce the reviewing time of captured images by gastroenterologists and increasing the accuracy rate for automatic detection of abnormalities, it is beneficial to remove regions which have less or no clinical information of small bowel texture (i.e., uninformative regions). In this research study, a multi-stage method including Chan-Vese, color range ratio, adaptive gamma correction method (AGCM), canny color edge detection operator, and morphological processing is proposed to detect these uninformative regions. The results support the effectiveness of the proposed method. In conclusion, the proposed method is a simple method to implement and performed well in removing the uninformative regions of small bowel images.

AB - Wireless capsule endoscopy (WCE) is able to investigate the entire gastrointestinal tract including the small bowel. To reduce the reviewing time of captured images by gastroenterologists and increasing the accuracy rate for automatic detection of abnormalities, it is beneficial to remove regions which have less or no clinical information of small bowel texture (i.e., uninformative regions). In this research study, a multi-stage method including Chan-Vese, color range ratio, adaptive gamma correction method (AGCM), canny color edge detection operator, and morphological processing is proposed to detect these uninformative regions. The results support the effectiveness of the proposed method. In conclusion, the proposed method is a simple method to implement and performed well in removing the uninformative regions of small bowel images.

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Detection of uninformative regions in wireless capsule endoscopy images

Abstract

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Keywords

ASJC Scopus subject areas

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