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Contrast enhancement for medical images based on histogram equalization followed by median filter

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Bibliographic Details
Main Authors: Jagatheeswari, P., Suresh Kumar, S., Rajaram, M.
Other Authors: jagathees80@yahoo.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
Image enhancement
Contrast stretching
Histogram equalization (HE)
MMBEBHE
Padding
Median filter
Image processing
Image intensifiers
Imaging systems
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7295
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spelling my.unimap-72952015-07-14T01:30:45Z Contrast enhancement for medical images based on histogram equalization followed by median filter Jagatheeswari, P. Suresh Kumar, S. Rajaram, M. jagathees80@yahoo.com Image enhancement Contrast stretching Histogram equalization (HE) MMBEBHE Padding Median filter Image processing Image intensifiers Imaging systems Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. The goal of image enhancement technique is to improve a characteristics or quality of an image, such that the resulting image is better than the original image. Histogram equalization (HE) is widely used for contrast enhancement. However, it tends to change the brightness of an images, where preserving the original brightness is essential to avoid annoying artifacts. So Bi-histogram equalization (BBHE) has been proposed and analyzed mathematically that it can preserve the original brightness to a certain extends. However, there are still cases that are not handled well by BBHE, as they require higher degree of preservation. The extension of BBHE is Minimum Mean Brightness Error Bi-Histogram Equalization (MMBEBHE). The result of MMBEBHE is bad for the image with a lot details. To overcome these drawbacks, a new method is proposed. In this method, image enhancement is performed by MMBEBHE based on a modified contrast stretching manipulation. While the image is enhanced, the impulse noises present in the images are also enhanced. To avoid this effect, the enhanced image is passed through a median filter. The median filter is an effective method for the removal of impulse based noise on images. This is due to the partial averaging effect of the median filter and its biasing of the input stream, rather than straight mathematical averaging. 2009-11-17T01:26:56Z 2009-11-17T01:26:56Z 2009-10-11 Working Paper p.2A4 1 - 2A4 4 http://hdl.handle.net/123456789/7295 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
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 Image enhancement
Contrast stretching
Histogram equalization (HE)
MMBEBHE
Padding
Median filter
Image processing
Image intensifiers
Imaging systems
spellingShingle Image enhancement
Contrast stretching
Histogram equalization (HE)
MMBEBHE
Padding
Median filter
Image processing
Image intensifiers
Imaging systems
Jagatheeswari, P.
Suresh Kumar, S.
Rajaram, M.
Contrast enhancement for medical images based on histogram equalization followed by median filter
description Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2 jagathees80@yahoo.com
author_facet jagathees80@yahoo.com
Jagatheeswari, P.
Suresh Kumar, S.
Rajaram, M.
format Working Paper
author Jagatheeswari, P.
Suresh Kumar, S.
Rajaram, M.
author_sort Jagatheeswari, P.
title Contrast enhancement for medical images based on histogram equalization followed by median filter
title_short Contrast enhancement for medical images based on histogram equalization followed by median filter
title_full Contrast enhancement for medical images based on histogram equalization followed by median filter
title_fullStr Contrast enhancement for medical images based on histogram equalization followed by median filter
title_full_unstemmed Contrast enhancement for medical images based on histogram equalization followed by median filter
title_sort contrast enhancement for medical images based on histogram equalization followed by median filter
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7295
_version_ 1643788751538749440
score 13.18916

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