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Medical Image Visual Appearance Improvement Using Bihistogram Bezier Curve Contrast Enhancement: Data from the Osteoarthritis Initiative
Joint Authors
Chaudhary, K. T.
Ali, J.
Yupapin, P. P.
Gan, Hong-Seng
Swee, Tan Tian
Abdul Karim, Ahmad Helmy
Sayuti, Khairil Amir
Tham, Weng-Kit
Wong, Liang-Xuan
Abdul Kadir, Mohammed Rafiq
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-20
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Well-defined image can assist user to identify region of interest during segmentation.
However, complex medical image is usually characterized by poor tissue contrast and low background luminance.
The contrast improvement can lift image visual quality, but the fundamental contrast enhancement methods often overlook the sudden jump problem.
In this work, the proposed bihistogram Bezier curve contrast enhancement introduces the concept of “adequate contrast enhancement” to overcome sudden jump problem in knee magnetic resonance image.
Since every image produces its own intensity distribution, the adequate contrast enhancement checks on the image’s maximum intensity distortion and uses intensity discrepancy reduction to generate Bezier transform curve.
The proposed method improves tissue contrast and preserves pertinent knee features without compromising natural image appearance.
Besides, statistical results from Fisher’s Least Significant Difference test and the Duncan test have consistently indicated that the proposed method outperforms fundamental contrast enhancement methods to exalt image visual quality.
As the study is limited to relatively small image database, future works will include a larger dataset with osteoarthritic images to assess the clinical effectiveness of the proposed method to facilitate the image inspection.
American Psychological Association (APA)
Gan, Hong-Seng& Swee, Tan Tian& Abdul Karim, Ahmad Helmy& Sayuti, Khairil Amir& Abdul Kadir, Mohammed Rafiq& Tham, Weng-Kit…[et al.]. 2014. Medical Image Visual Appearance Improvement Using Bihistogram Bezier Curve Contrast Enhancement: Data from the Osteoarthritis Initiative. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1049111
Modern Language Association (MLA)
Gan, Hong-Seng…[et al.]. Medical Image Visual Appearance Improvement Using Bihistogram Bezier Curve Contrast Enhancement: Data from the Osteoarthritis Initiative. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1049111
American Medical Association (AMA)
Gan, Hong-Seng& Swee, Tan Tian& Abdul Karim, Ahmad Helmy& Sayuti, Khairil Amir& Abdul Kadir, Mohammed Rafiq& Tham, Weng-Kit…[et al.]. Medical Image Visual Appearance Improvement Using Bihistogram Bezier Curve Contrast Enhancement: Data from the Osteoarthritis Initiative. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1049111
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049111