A knowledge-based image enhancement and denoising approach

Hafiz Syed Muhammad Muslim (), Sajid Ali Khan (), Shariq Hussain (), Arif Jamal () and Hafiz Syed Ahmed Qasim ()
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Hafiz Syed Muhammad Muslim: National University of Science and Technology
Sajid Ali Khan: Foundation University Islamabad
Shariq Hussain: Foundation University Islamabad
Arif Jamal: Foundation University Islamabad
Hafiz Syed Ahmed Qasim: National University of Science and Technology

Computational and Mathematical Organization Theory, 2019, vol. 25, issue 2, No 2, 108-121

Abstract: Abstract The emergence of computer-aided diagnostic technology has revolutionized the health sector and by use of medical imaging records, health experts are able to get detailed analysis which enable them in precise diagnosis of gliomas tumors. In this paper, we present an approach that uses domain-specific knowledge together with hybrid image enhancement techniques that provides resulting image(s) with more details and lesser noise levels. We did comparison of our KB proposed approach with existing techniques and the experimentation results showed improvement in quality and reduction of arbitrariness of images. The approach is proved to be feasible and effective, thus resulting in better medical diagnosis and evaluation of gliomas problems. Proposed research work recommends a new approach for medical imaging enhancements.

Keywords: Medical imaging; Knowledge-based; Image enhancement; Fusion; Segmentation (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10588-018-9274-8

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