Analysis of image quality based on dentists' perception cognitive analysis and statistical measurements of intra-oral dental radiographs

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Main Authors: Siti Arpah, Ahmad, Mohd Nasir, Taib, Prof. Dr., Noor Elaiza, Abd. Khalid, Haslina, Taib, Dr.
Other Authors: arpah@tmsk.uitm.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21431
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spelling my.unimap-214312012-10-18T08:47:36Z Analysis of image quality based on dentists' perception cognitive analysis and statistical measurements of intra-oral dental radiographs Siti Arpah, Ahmad Mohd Nasir, Taib, Prof. Dr. Noor Elaiza, Abd. Khalid Haslina, Taib, Dr. arpah@tmsk.uitm.edu.my dr.nasir@ieee.org elaiza@tmsk.uitm.edu.my haslina@kck.usm.my Component Contrast enhancment Sharp contrastlimited adaptive histogram equalization (SCLAHE) Dental X-ray Link to publisher's homepage at http://ieeexplore.ieee.org/ Image quality plays an important role in assisting dentists’ diagnosis ability. However, noise that come from the nature of image acquisition processes degrades image quality in radiographs. Advancement in image processing has leads many researches toward the enhancement of medical images for more accurate medical expert interpretation. This paper discusses the implementation of a spatial domain enhancement based method to enhance the digital dental radiographs. The technique applied the differential diagnosis findings of Intra-oral dental X-ray images for pre and post processing with sharp contrast-limited adaptive histogram equalization (SCLAHE). The diagnosis capability is assessed according to the dentists’ perception of image quality that contributes to the detection of various pathologies. Thirty intra-oral digital dental radiographs were collected from Faculty of Dentistry UiTM Shah Alam. These images were processed with SCLAHE to produce a total of 90 images observation. The evaluation on the images is done in predefined time of two hours by three dentists. The evaluations were done using printed questionnaires together with the images softcopy viewed on a computer screen. The statistical methods used are contrast enhancement index (CII), Signal to Noise Ratio (SNR), Root Mean Square Error (RMSE) and cognitive analysis of dentists’ perception. SCLAHE shows potential to improve the quality of the original images. 2012-10-18T08:47:35Z 2012-10-18T08:47:35Z 2012-02-27 Working Paper p. 379-384 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179042 http://hdl.handle.net/123456789/21431 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Component
Contrast enhancment
Sharp contrastlimited adaptive histogram equalization (SCLAHE)
Dental X-ray
spellingShingle Component
Contrast enhancment
Sharp contrastlimited adaptive histogram equalization (SCLAHE)
Dental X-ray
Siti Arpah, Ahmad
Mohd Nasir, Taib, Prof. Dr.
Noor Elaiza, Abd. Khalid
Haslina, Taib, Dr.
Analysis of image quality based on dentists' perception cognitive analysis and statistical measurements of intra-oral dental radiographs
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 arpah@tmsk.uitm.edu.my
author_facet arpah@tmsk.uitm.edu.my
Siti Arpah, Ahmad
Mohd Nasir, Taib, Prof. Dr.
Noor Elaiza, Abd. Khalid
Haslina, Taib, Dr.
format Working Paper
author Siti Arpah, Ahmad
Mohd Nasir, Taib, Prof. Dr.
Noor Elaiza, Abd. Khalid
Haslina, Taib, Dr.
author_sort Siti Arpah, Ahmad
title Analysis of image quality based on dentists' perception cognitive analysis and statistical measurements of intra-oral dental radiographs
title_short Analysis of image quality based on dentists' perception cognitive analysis and statistical measurements of intra-oral dental radiographs
title_full Analysis of image quality based on dentists' perception cognitive analysis and statistical measurements of intra-oral dental radiographs
title_fullStr Analysis of image quality based on dentists' perception cognitive analysis and statistical measurements of intra-oral dental radiographs
title_full_unstemmed Analysis of image quality based on dentists' perception cognitive analysis and statistical measurements of intra-oral dental radiographs
title_sort analysis of image quality based on dentists' perception cognitive analysis and statistical measurements of intra-oral dental radiographs
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21431
_version_ 1643793373766615040
score 13.214268