İlintili Görüntülerin Birleşik Markov Rastgele Alan Modeli ve Gerçek - Zamanlı Uygulanabilir En - İyileme Yaklaşımı

This paper describes a Markov Random Field model for coupled range and confidence signals. Beamforming is a method used to bring a range image from backscattered echos of acoustic signals. Another information is confidence of signal which associated point by point with this range data. In the proposed algorithm, the range and confidence images are modeled as Markov Random Fields whose probability distributions are specified by a single energy function. The optimization of this model gives reconstructed range and restored confidence images and an approach to the optimization is suggested for the real-time implementation of this method.