An Effective Image Enhancement Method for Electronic Portal Images

Mao-Hsiung Hung; S-C Chu; John Roddick; Jeng-Shyang Pan; C-S Shieh

doi:10.1007/978-3-642-16696-9_19

An Effective Image Enhancement Method for Electronic Portal Images

Mao-Hsiung Hung, S-C Chu, John Roddick, Jeng-Shyang Pan, C-S Shieh

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

Abstract

Due to the inherent low-contrast in Electronic Portal Images (EPI), the perception quality of EPI has certain gap to the expectation of most physicians. It is essential to have effective post-processing methods to enhance the visual quality of EPI. However, only limited efforts had been paid to this issue in the past decade. To this problem, an integrated approach featuring automatic thresholding is developed and presented in this article. Firstly, Gray-Level Grouping (GLG) is applied to improve the global contrast of the whole image. Secondly, Adaptive Image Contrast Enhancement (AICE) is used to refine the local contrast within a neighborhood. Finally, a simple spatial filter is employed to reduce noises. The experimental results indicate that the proposed method greatly improves the visual perceptibility as compared with previous approaches.

Original language	English
Pages	174-183
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-16696-9_19
Publication status	Published - 3 Dec 2010
Event	2nd International Conference on Computational Collective Intelligence - Semantic Web, Social Networks & Multiagent Systems - ICCCI 2010 - Duration: 10 Nov 2010 → …

Conference

Conference	2nd International Conference on Computational Collective Intelligence - Semantic Web, Social Networks & Multiagent Systems - ICCCI 2010
Period	10/11/10 → …

Keywords

Adaptive image contrast enhancement
Contrast enhancement
Electronic portal image
Gray-level grouping

Access to Document

10.1007/978-3-642-16696-9_19

Cite this

@conference{0d04d0bec4cb40cfb9959f60abc66e8a,

title = "An Effective Image Enhancement Method for Electronic Portal Images",

abstract = "Due to the inherent low-contrast in Electronic Portal Images (EPI), the perception quality of EPI has certain gap to the expectation of most physicians. It is essential to have effective post-processing methods to enhance the visual quality of EPI. However, only limited efforts had been paid to this issue in the past decade. To this problem, an integrated approach featuring automatic thresholding is developed and presented in this article. Firstly, Gray-Level Grouping (GLG) is applied to improve the global contrast of the whole image. Secondly, Adaptive Image Contrast Enhancement (AICE) is used to refine the local contrast within a neighborhood. Finally, a simple spatial filter is employed to reduce noises. The experimental results indicate that the proposed method greatly improves the visual perceptibility as compared with previous approaches.",

keywords = "Adaptive image contrast enhancement, Contrast enhancement, Electronic portal image, Gray-level grouping",

author = "Mao-Hsiung Hung and S-C Chu and John Roddick and Jeng-Shyang Pan and C-S Shieh",

year = "2010",

month = dec,

day = "3",

doi = "10.1007/978-3-642-16696-9_19",

language = "English",

pages = "174--183",

note = "2nd International Conference on Computational Collective Intelligence - Semantic Web, Social Networks & Multiagent Systems - ICCCI 2010 ; Conference date: 10-11-2010",

}

An Effective Image Enhancement Method for Electronic Portal Images. / Hung, Mao-Hsiung; Chu, S-C; Roddick, John; Pan, Jeng-Shyang; Shieh, C-S.

2010. 174-183 Paper presented at 2nd International Conference on Computational Collective Intelligence - Semantic Web, Social Networks & Multiagent Systems - ICCCI 2010, .

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - An Effective Image Enhancement Method for Electronic Portal Images

AU - Hung, Mao-Hsiung

AU - Chu, S-C

AU - Roddick, John

AU - Pan, Jeng-Shyang

AU - Shieh, C-S

PY - 2010/12/3

Y1 - 2010/12/3

N2 - Due to the inherent low-contrast in Electronic Portal Images (EPI), the perception quality of EPI has certain gap to the expectation of most physicians. It is essential to have effective post-processing methods to enhance the visual quality of EPI. However, only limited efforts had been paid to this issue in the past decade. To this problem, an integrated approach featuring automatic thresholding is developed and presented in this article. Firstly, Gray-Level Grouping (GLG) is applied to improve the global contrast of the whole image. Secondly, Adaptive Image Contrast Enhancement (AICE) is used to refine the local contrast within a neighborhood. Finally, a simple spatial filter is employed to reduce noises. The experimental results indicate that the proposed method greatly improves the visual perceptibility as compared with previous approaches.

AB - Due to the inherent low-contrast in Electronic Portal Images (EPI), the perception quality of EPI has certain gap to the expectation of most physicians. It is essential to have effective post-processing methods to enhance the visual quality of EPI. However, only limited efforts had been paid to this issue in the past decade. To this problem, an integrated approach featuring automatic thresholding is developed and presented in this article. Firstly, Gray-Level Grouping (GLG) is applied to improve the global contrast of the whole image. Secondly, Adaptive Image Contrast Enhancement (AICE) is used to refine the local contrast within a neighborhood. Finally, a simple spatial filter is employed to reduce noises. The experimental results indicate that the proposed method greatly improves the visual perceptibility as compared with previous approaches.

KW - Adaptive image contrast enhancement

KW - Contrast enhancement

KW - Electronic portal image

KW - Gray-level grouping

UR - http://www.scopus.com/inward/record.url?scp=78649494506&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-16696-9_19

DO - 10.1007/978-3-642-16696-9_19

M3 - Paper

SP - 174

EP - 183

T2 - 2nd International Conference on Computational Collective Intelligence - Semantic Web, Social Networks & Multiagent Systems - ICCCI 2010

Y2 - 10 November 2010

ER -

An Effective Image Enhancement Method for Electronic Portal Images

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this