An analysis of x-ray image enhancement methods for vertebral bone segmentation

Ili Ayuni Mohd Ikhsan, Aini Hussain, Mohd Asyraf Zulkifley, Nooritawati Md Tahir, Aouache Mustapha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

Image enhancement is a critical component in getting a good segmentation, especially for x-ray images. Magnification of the contrast and sharpness of the image will increase the accuracy of the subsequent modules for an autonomous disease diagnosis system. In this paper, we analyze various methods of preprocessing techniques for vertebral bone segmentation. Three methods are considered which are histogram equalization (HE), gamma correction (GC) and contrast limited adaptive histogram equalizer (CLAHE). This work aims to compare and quantify the precision and accuracy of the techniques that are used to enhance the image quality. Experimental results of the system yield favorable results where the most accurate technique is CLAHE, followed by GC and HE.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014
PublisherIEEE Computer Society
Pages208-211
Number of pages4
ISBN (Print)9781479915323
DOIs
Publication statusPublished - 2014
Event2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014 - Kuala Lumpur
Duration: 7 Mar 20149 Mar 2014

Other

Other2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014
CityKuala Lumpur
Period7/3/149/3/14

Fingerprint

Image enhancement
Equalizers
Bone
X rays
Image quality

Keywords

  • Contrast Limited Adaptive Histogram Equalizer
  • Gamma Correction technique
  • Histogram technique

ASJC Scopus subject areas

  • Signal Processing

Cite this

Ikhsan, I. A. M., Hussain, A., Zulkifley, M. A., Tahir, N. M., & Mustapha, A. (2014). An analysis of x-ray image enhancement methods for vertebral bone segmentation. In Proceedings - 2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014 (pp. 208-211). [6805749] IEEE Computer Society. https://doi.org/10.1109/CSPA.2014.6805749

An analysis of x-ray image enhancement methods for vertebral bone segmentation. / Ikhsan, Ili Ayuni Mohd; Hussain, Aini; Zulkifley, Mohd Asyraf; Tahir, Nooritawati Md; Mustapha, Aouache.

Proceedings - 2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014. IEEE Computer Society, 2014. p. 208-211 6805749.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ikhsan, IAM, Hussain, A, Zulkifley, MA, Tahir, NM & Mustapha, A 2014, An analysis of x-ray image enhancement methods for vertebral bone segmentation. in Proceedings - 2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014., 6805749, IEEE Computer Society, pp. 208-211, 2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014, Kuala Lumpur, 7/3/14. https://doi.org/10.1109/CSPA.2014.6805749
Ikhsan IAM, Hussain A, Zulkifley MA, Tahir NM, Mustapha A. An analysis of x-ray image enhancement methods for vertebral bone segmentation. In Proceedings - 2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014. IEEE Computer Society. 2014. p. 208-211. 6805749 https://doi.org/10.1109/CSPA.2014.6805749
Ikhsan, Ili Ayuni Mohd ; Hussain, Aini ; Zulkifley, Mohd Asyraf ; Tahir, Nooritawati Md ; Mustapha, Aouache. / An analysis of x-ray image enhancement methods for vertebral bone segmentation. Proceedings - 2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014. IEEE Computer Society, 2014. pp. 208-211
@inproceedings{8a7b405f1e374c59949243a9baed1253,
title = "An analysis of x-ray image enhancement methods for vertebral bone segmentation",
abstract = "Image enhancement is a critical component in getting a good segmentation, especially for x-ray images. Magnification of the contrast and sharpness of the image will increase the accuracy of the subsequent modules for an autonomous disease diagnosis system. In this paper, we analyze various methods of preprocessing techniques for vertebral bone segmentation. Three methods are considered which are histogram equalization (HE), gamma correction (GC) and contrast limited adaptive histogram equalizer (CLAHE). This work aims to compare and quantify the precision and accuracy of the techniques that are used to enhance the image quality. Experimental results of the system yield favorable results where the most accurate technique is CLAHE, followed by GC and HE.",
keywords = "Contrast Limited Adaptive Histogram Equalizer, Gamma Correction technique, Histogram technique",
author = "Ikhsan, {Ili Ayuni Mohd} and Aini Hussain and Zulkifley, {Mohd Asyraf} and Tahir, {Nooritawati Md} and Aouache Mustapha",
year = "2014",
doi = "10.1109/CSPA.2014.6805749",
language = "English",
isbn = "9781479915323",
pages = "208--211",
booktitle = "Proceedings - 2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - An analysis of x-ray image enhancement methods for vertebral bone segmentation

AU - Ikhsan, Ili Ayuni Mohd

AU - Hussain, Aini

AU - Zulkifley, Mohd Asyraf

AU - Tahir, Nooritawati Md

AU - Mustapha, Aouache

PY - 2014

Y1 - 2014

N2 - Image enhancement is a critical component in getting a good segmentation, especially for x-ray images. Magnification of the contrast and sharpness of the image will increase the accuracy of the subsequent modules for an autonomous disease diagnosis system. In this paper, we analyze various methods of preprocessing techniques for vertebral bone segmentation. Three methods are considered which are histogram equalization (HE), gamma correction (GC) and contrast limited adaptive histogram equalizer (CLAHE). This work aims to compare and quantify the precision and accuracy of the techniques that are used to enhance the image quality. Experimental results of the system yield favorable results where the most accurate technique is CLAHE, followed by GC and HE.

AB - Image enhancement is a critical component in getting a good segmentation, especially for x-ray images. Magnification of the contrast and sharpness of the image will increase the accuracy of the subsequent modules for an autonomous disease diagnosis system. In this paper, we analyze various methods of preprocessing techniques for vertebral bone segmentation. Three methods are considered which are histogram equalization (HE), gamma correction (GC) and contrast limited adaptive histogram equalizer (CLAHE). This work aims to compare and quantify the precision and accuracy of the techniques that are used to enhance the image quality. Experimental results of the system yield favorable results where the most accurate technique is CLAHE, followed by GC and HE.

KW - Contrast Limited Adaptive Histogram Equalizer

KW - Gamma Correction technique

KW - Histogram technique

UR - http://www.scopus.com/inward/record.url?scp=84901659702&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84901659702&partnerID=8YFLogxK

U2 - 10.1109/CSPA.2014.6805749

DO - 10.1109/CSPA.2014.6805749

M3 - Conference contribution

AN - SCOPUS:84901659702

SN - 9781479915323

SP - 208

EP - 211

BT - Proceedings - 2014 IEEE 10th International Colloquium on Signal Processing and Its Applications, CSPA 2014

PB - IEEE Computer Society

ER -