Due to the rapid development in digital technology, image enhancement has become a necessity to extract data and use it in many fields that may be medical, agricultural security, and many other fields. There are many Image enhancement technique used in image processing. The proposed method have been presented in this paper attempt to improve the performance of histogram equalization with different kind of medical image by using Gaussian filter and gamma where combined together to improve the illumination, contrast of images ,reduce the noise, and also improve image quality coefficients. Try to measure the entropy of image and compare the result of output image with input image and to give desired result. The quality coefficients for the medical images processed with the HE and Gaussian filter and Gamma with certain value, according to the scientific proof. When the image quality was improved, the visual perception was improved.
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29 March 2023
AL-KADHUM 2ND INTERNATIONAL CONFERENCE ON MODERN APPLICATIONS OF INFORMATION AND COMMUNICATION TECHNOLOGY
8–9 December 2021
Baghdad, Iraq
Research Article|
March 29 2023
Medical image enhancement using histogram equalization techniques
Zobeda Hatif Naji AL-Azzawi;
Zobeda Hatif Naji AL-Azzawi
a)
1
Department of Computer Engineering, College of Engineering, University of Diyala
, Iraq
a)Corresponding author: [email protected]
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Wisam Hayder Mahdi;
Wisam Hayder Mahdi
b)
2
Department of Communications Engineering, College of Engineering, University of Diyala
, Iraq
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Shaimaa Khamees Ahmed;
Shaimaa Khamees Ahmed
1
Department of Computer Engineering, College of Engineering, University of Diyala
, Iraq
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Waqas Saad Yasin
Waqas Saad Yasin
1
Department of Computer Engineering, College of Engineering, University of Diyala
, Iraq
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a)Corresponding author: [email protected]
AIP Conf. Proc. 2591, 030036 (2023)
Citation
Zobeda Hatif Naji AL-Azzawi, Wisam Hayder Mahdi, Shaimaa Khamees Ahmed, Waqas Saad Yasin; Medical image enhancement using histogram equalization techniques. AIP Conf. Proc. 29 March 2023; 2591 (1): 030036. https://doi.org/10.1063/5.0119326
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