COMPARE OF MEDIAN FILTER AND WIENER FILTER TO DETECT CONCEALED WEAPONS
Autor: | Moumena Salah YASSEN |
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Rok vydání: | 2022 |
Zdroj: | Full Text Book of Minar Congress5. |
DOI: | 10.47832/minarcongress5-31 |
Popis: | Many types of terror and terrorist attack aimed to finish our safety and friendly life. Therefore, detecting weapons has become a very important role in our life. Image processing and computer vision are one of the best field that targets to clarify different kinds of images, especially weapons images that can be a source of threat in many places such as metros stations, malls, airports, schools, and train stations. So that, there is a need to employ techniques for discovering different weapons, like guns, knives, and chemical explosives hidden in the clothing. In this paper, we will use different kinds of image filters Median and Wiener to detect images with different weapons. The experimental results ensure that wiener filter is best filter for eliminate noise from the concealed weapons images. Outcomes of this paper have been implemented on MATLAB. |
Databáze: | OpenAIRE |
Externí odkaz: |
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