Metro systems are one of the world's largest and least polluting means of transportation and have led to widespread spread. There was a need for systems that could help the tow driver make a decision to stop the train or keep walking based on data taken from the camera mounted on the front of the train. In this part of the study we have built an application to deal with noise cases so that the application allows the addition of noise to digital images taken by the train camera This noise reflects the distortion in images resulting from different weather conditions and supports two types of noise (Gaussian, salt & pepper). We studied the effect of the filter size on the difference between the original image before processing and the image after noise processing using the Average Filter and the Median Filter and found that as the filter size increases, the difference between the original image and the image after processing increases. Median Filter, whether Gaussian noise with an average of 0 and a standard deviation of 0.01 or the case of salt & pepper noise with a noise density of 0.1.
Al-Baath University Journal.
2019.
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