IMPROVEMENT OF ELECTRON MICROSCOPE VIRUS IMAGES THROUGH SEGMENTATION AND CONTRAST ENHANCEMENT

Kahttan A.  Noman; Alauldeen salah  Yaseen

doi:10.30572/2018/KJE/160437

Authors

Kahttan A. Noman Asst. Professor , Ph.D., Presidency of the Council of Ministers , Iraq
Alauldeen salah Yaseen Lecturer, Ph.D., Applied Sciences. Dept., University of Technology, Iraq

DOI:

https://doi.org/10.30572/2018/KJE/160437

Keywords:

Microscope Virus images, Image enhancement, Dark Channel Prior, Adopted Histogram Equalization

Abstract

High-resolution imaging techniques are essential for accurately studying viruses and their effects. Due to their small size, viruses often require sophisticated imaging tools for successful detection and analysis. Microscopy techniques, such as electron microscopy or fluorescence microscopy, are commonly used to capture images of viruses. However, these images can sometimes lack contrast and detail, making it challenging to identify important structural features. This paper introduces a new method to enhance the gray-scale images of 36 electron microscope virus images by increasing contrast and brightness using dark channel prior and adapted histogram equalization used Otsu's segmentation. To determine the efficiency of the proposed method in improving microscopic images, it was compared with several other methods. The quality measurements demonstrated significant success, with entropy (EN) at 7.800, average gradient (AG) at 16.996, mean standard deviation (MSTD) at 44.321, and contrast enhancement measurement (CEM) at 0.8752. The results indicate the algorithm's effectiveness in preserving image clarity and enhancing its features in a superior manner

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