MEDICAL IMAGE ENHANCEMENT BASED AI TECHNIQUES: A REVIEW

Zobeda Hatif Naji,
Department of Intelligent Systems, Moscow Institute of Physics and Technology, Moscow, Russia

A.N. Nazarov,
Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow, Russia

DOI: 10.36724/2664-066X-2022-8-2-19-23

SYNCHROINFO JOURNAL. Volume 8, Number 2 (2022). P. 19-23.

Abstract

Image enhancement is a type of image processing that improves the image’s suitability for specific uses. Image enhancement’s primary goal is to improve an image’s visual look, or to provide a “higher transform features of an image”. The goal of the paper is to analyze and formulate several image enhancing strategies that can be used in a variety of medical applications. A survey of various picture enhancement techniques is presented in this work. More specifically, the suggested research would focus on improving medical photos captured in low-light conditions, foggy environments, and speckle noise, among other things. Developing algorithms to aid clinicians in diagnosing the disease at its earliest stages.

Keywords: ANN, FuzzayLogic, Image enhancement, Image noising.

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