A Knowledge-Based Image Enhancement and Denoising Approach

Shariq Hussain; Sajid Ali Khan; Arif Jamal Malik; Hafiz Syed Muhammad Muslim; Hafiz Syed Ahmed Qasim

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

research from:

• Foundation University - Faculty of Engineering and IT

Year:

2019

Type of Publication:

Article

Journal:

Computational and Mathematical Organization Theory

Volume:

25

Number:

2

Pages:

108–121

Month:

6

DOI:

10.1007/s10588-018-9274-8