International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 184 - Issue 31 |
Published: Oct 2022 |
Authors: Anthony Aidoo, Frank Arthur, Gloria A. Botchway |
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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 }, year = { 2022 }, volume = { 184 }, number = { 31 }, pages = { 1-10 }, doi = { 10.5120/ijca2022922363 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2022 %A Anthony Aidoo %A Frank Arthur %A Gloria A. Botchway %T A Morphological Pyramids Approach to Grayscale Image Enhancement%T %J International Journal of Computer Applications %V 184 %N 31 %P 1-10 %R 10.5120/ijca2022922363 %I Foundation of Computer Science (FCS), NY, USA
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.