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A Morphological Pyramids Approach to Grayscale Image Enhancement

by Anthony Aidoo, Frank Arthur, Gloria A. Botchway
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 31
Year of Publication: 2022
Authors: Anthony Aidoo, Frank Arthur, Gloria A. Botchway
10.5120/ijca2022922363

Anthony Aidoo, Frank Arthur, Gloria A. Botchway . A Morphological Pyramids Approach to Grayscale Image Enhancement. International Journal of Computer Applications. 184, 31 ( Oct 2022), 1-10. DOI=10.5120/ijca2022922363

@article{ 10.5120/ijca2022922363,
author = { Anthony Aidoo, Frank Arthur, Gloria A. Botchway },
title = { A Morphological Pyramids Approach to Grayscale Image Enhancement },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2022 },
volume = { 184 },
number = { 31 },
month = { Oct },
year = { 2022 },
issn = { 0975-8887 },
pages = { 1-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number31/32509-2022922363/ },
doi = { 10.5120/ijca2022922363 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:22:51.260317+05:30
%A Anthony Aidoo
%A Frank Arthur
%A Gloria A. Botchway
%T A Morphological Pyramids Approach to Grayscale Image Enhancement
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 31
%P 1-10
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Medical image processing algorithms significantly affect the precision of disease diagnostic process. This makes it crucial to improve the quality of a medical image with the goal to enhance perceivability of the points of interest in order to obtain accurate diagnosis of a patient. Despite the reliance of various medical diagnostics on utilize X-rays, they are usually plagued by dark and low contrast properties. Sought-after details in X-rays can only be accessed by means of digital image processing techniques, despite the fact that these techniques are far from being perfect. In this paper, we implement a wavelet decomposition and reconstruction technique to enhance radiograph properties, some of which include contrast and noise, by using a series of morphological erosion and dilation to improve the visual quality of the chest radiographs for the detection of cancer nodules.

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Index Terms

Computer Science
Information Sciences

Keywords

Chest radiograph image enhancement mathematical morphology wavelet decomposition Chest radiograph image enhancement mathematical morphology wavelet decomposition

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