Revolutionizing Detection of FinancialCrime Using AI and Machine Learning:The Success Story of the ML DetectionChannel ...

In this paper, we present a new edge detection model based on proximal unfolded neural networks. The architecture relies on unfolding proximal Blake–Zisserman iterations, leading to a composition of ...

Gaussian smoothing: Since all edge detection results are easily affected by image noise, it is essential to filter out the noise to prevent false detection caused by noise. To smooth the image, a ...

Mastriani, M. and Giraldez, A.E. (2016) Enhanced Directional Smoothing Algorithm for Edge-Preserving Smoothing of Synthetic-Aperture Radar Images. ... Development and Parallelization of an Improved 2D ...