Medical imaging using laparoscopic plays an important role in diagnosing many diseases, including intestinal diseases, infections inside the stomach, and others, and it is used as a means of vision during internal operations, in many cases, during the removal of infections and tumors, an operation is performed to cauterize process by smoke, which leads to a lack of clarity during imaging. In this study, the aim was to improve the medical laparoscope images that contain smoke based on the Dark Channel Prior (DCP) algorithm. In order to preserve the color information, this algorithm was applied to the lighting component only in YIQ space. To find out the efficiency of the improvement, the proposed method was compared with several optimization algorithms by calculating no-reference quality measures, by analyzing the results, the proposed method obtained high improvement coefficients.
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4 December 2023
2ND INTERNATIONAL CONFERENCE OF MATHEMATICS, APPLIED SCIENCES, INFORMATION AND COMMUNICATION TECHNOLOGY
1–2 May 2022
Baghdad, Iraq
Research Article|
December 04 2023
A smoke removal in laparoscopic images by dark channel prior algorithm based YIQ color space
Ali Sadam Lafta;
Ali Sadam Lafta
a)
1
Mustansiriya University College of Education Department of Physic
, Baghdad, Iraq
a)Corresponding author mailto:[email protected]
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Shahad Ahmed Abd-Alameer;
Shahad Ahmed Abd-Alameer
b)
2
Thi-Qar University
, Thi-Qar, Iraq
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Hana H. Kareem;
Hana H. Kareem
c)
1
Mustansiriya University College of Education Department of Physic
, Baghdad, Iraq
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Hazim G. Daway
Hazim G. Daway
d)
3
Mustansiriya University College of Science Department of Physics
, Baghdad, Iraq
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Ali Sadam Lafta
1,a)
Shahad Ahmed Abd-Alameer
2,b)
Hana H. Kareem
1,c)
Hazim G. Daway
3,d)
1
Mustansiriya University College of Education Department of Physic
, Baghdad, Iraq
2
Thi-Qar University
, Thi-Qar, Iraq
3
Mustansiriya University College of Science Department of Physics
, Baghdad, Iraq
a)Corresponding author mailto:[email protected]
b)
mailto:[email protected]
c)
mailto:[email protected]
d)
mailto:[email protected]
AIP Conf. Proc. 2834, 090036 (2023)
Citation
Ali Sadam Lafta, Shahad Ahmed Abd-Alameer, Hana H. Kareem, Hazim G. Daway; A smoke removal in laparoscopic images by dark channel prior algorithm based YIQ color space. AIP Conf. Proc. 4 December 2023; 2834 (1): 090036. https://doi.org/10.1063/5.0162135
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