Cover Image

New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images

This dissertation presents a new non-linear contrast enhancement algorithm for non-uniform illumination and low contrast digital colour medical images. In this research study, medical microscopic cervical cell and human epithelial type 2 (HEp-2) cell images were employed as case studies. Commonly, t...

Full description

Saved in:
Bibliographic Details
Main Author: Eng , Sheh Ling
Format: Thesis
Language:English
Published: 2016
Subjects:
TK7800-8360 Electronics
Online Access:http://eprints.usm.my/41315/1/ENG_SHEH_LING_24_Pages.pdf
http://eprints.usm.my/41315/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.usm.eprints.41315
record_format eprints
spelling my.usm.eprints.41315 http://eprints.usm.my/41315/ New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images Eng , Sheh Ling TK7800-8360 Electronics This dissertation presents a new non-linear contrast enhancement algorithm for non-uniform illumination and low contrast digital colour medical images. In this research study, medical microscopic cervical cell and human epithelial type 2 (HEp-2) cell images were employed as case studies. Commonly, the captured cell images from the video camera or digital camera have uneven illumination and poor contrast due to inadequate lighting, the quality of the image acquisition devices and/or environmental conditions. The problem of non-homogenous illumination is not considered by most of the developed contrast enhancement approaches when performing operations to improve the cell image quality. From the previous studies, although two non-linear dark and bright contrast enhancement methods were proposed, but each method was utilized to enhance the entire cell image. As a result, each resultant image contained only one enhanced region while degraded the contrast of another region extremely. Firstly, this proposed algorithm tackles the non-uniform illumination issue by implementing two modified Gaussian fuzzy membership functions to predetermined underexposed and overexposed regions. After obtaining more even illumination cell images, this proposed algorithm addresses the low contrast problem by proposing new non-linear dark region bright region contrast enhancement techniques to enhance dark and bright regions individually. Lastly, the enhanced pixels of each region are combined to form an enhanced image. According to the qualitative and quantitative analysis, the experimental results in greyscale and colour format showed that the proposed algorithm tends to provide clearer and informational enhanced images, least noise amplification, better differentiation between the cell and the background, better contrast and illumination, and capable to preserve the image naturalness as compared with other methods. 2016 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/41315/1/ENG_SHEH_LING_24_Pages.pdf Eng , Sheh Ling (2016) New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images. Masters thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic TK7800-8360 Electronics
spellingShingle TK7800-8360 Electronics
Eng , Sheh Ling
New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images
description This dissertation presents a new non-linear contrast enhancement algorithm for non-uniform illumination and low contrast digital colour medical images. In this research study, medical microscopic cervical cell and human epithelial type 2 (HEp-2) cell images were employed as case studies. Commonly, the captured cell images from the video camera or digital camera have uneven illumination and poor contrast due to inadequate lighting, the quality of the image acquisition devices and/or environmental conditions. The problem of non-homogenous illumination is not considered by most of the developed contrast enhancement approaches when performing operations to improve the cell image quality. From the previous studies, although two non-linear dark and bright contrast enhancement methods were proposed, but each method was utilized to enhance the entire cell image. As a result, each resultant image contained only one enhanced region while degraded the contrast of another region extremely. Firstly, this proposed algorithm tackles the non-uniform illumination issue by implementing two modified Gaussian fuzzy membership functions to predetermined underexposed and overexposed regions. After obtaining more even illumination cell images, this proposed algorithm addresses the low contrast problem by proposing new non-linear dark region bright region contrast enhancement techniques to enhance dark and bright regions individually. Lastly, the enhanced pixels of each region are combined to form an enhanced image. According to the qualitative and quantitative analysis, the experimental results in greyscale and colour format showed that the proposed algorithm tends to provide clearer and informational enhanced images, least noise amplification, better differentiation between the cell and the background, better contrast and illumination, and capable to preserve the image naturalness as compared with other methods.
format Thesis
author Eng , Sheh Ling
author_facet Eng , Sheh Ling
author_sort Eng , Sheh Ling
title New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images
title_short New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images
title_full New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images
title_fullStr New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images
title_full_unstemmed New Contrast Enhancement Technique For Non-Uniform Illumination Digital Colour Medical Images
title_sort new contrast enhancement technique for non-uniform illumination digital colour medical images
publishDate 2016
url http://eprints.usm.my/41315/1/ENG_SHEH_LING_24_Pages.pdf
http://eprints.usm.my/41315/
_version_ 1643710186556227584
score 13.211869

Similar Items