Improving diagnostic viewing of medical images using enhancement algorithms

Hanan Saleh S Ahmed, Md. Jan Nordin

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

Problem statement: Various images are low quality and difficultly to detect and extract information. Therefore, the image has to get under a process called image enhancement which contains an aggregation of techniques that look for improving the visual aspect of an image. Medical images are one of the fundamental images, because they are used in more sensitive field which is a medical field. The raw data obtained straight from devices of medical acquisition may afford a comparatively poor image quality representation and may destroy by several types of noises. Image Enhancement (IE) and denoising algorithms for executing the requirements of digital medical image enhancement is introduced. The main goal of this study is to improve features and gain better characteristics of medical images for a right diagnosis. Approach: The proposed techniques start by the median filter for removing noise on images followed by unsharp mask filter which is believable the usual type of sharpening. Medical images were usually poor quality especially in contrast. For solving this problem, we proposed Contrast Limited Adaptive Histogram Equalization (CLAHE) which is one of the techniques in a computer image processing domain. It was used to amend contrast in images. Results: For testing purposes, different sizes and various types of medical images were used and more than 60 images in different parts of the body. From the experts' evaluation, they noted that the enhanced images improved up to 80% from the original images depends on medical images modalities. Conclusion: The proposed algorithms results were significant for increasing the visibleness of relatively details without distorting the images.

Original languageEnglish
Pages (from-to)1831-1838
Number of pages8
JournalJournal of Computer Science
Volume7
Issue number12
DOIs
Publication statusPublished - 2011

Fingerprint

Image enhancement
Median filters
Image denoising
Image quality
Masks
Image processing
Agglomeration
Testing

Keywords

  • Contrast limited adaptive histogram equalization
  • Median filter
  • Medical images
  • Medpix database
  • Unsharp mask

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Artificial Intelligence

Cite this

Improving diagnostic viewing of medical images using enhancement algorithms. / Ahmed, Hanan Saleh S; Nordin, Md. Jan.

In: Journal of Computer Science, Vol. 7, No. 12, 2011, p. 1831-1838.

Research output: Contribution to journalArticle

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