We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
Contextual information and a priori knowledge play important roles in image segmentation based on neural networks. This paper proposed a method for including contextual information...
In this paper we present a novel method for the 3D centerline extraction of elongated objects such as vessels. This method unites the basic ideas in distance transformbased, thinn...
M. Maddah, Ali Afzali-Kusha, Hamid Soltanian-Zadeh...
We propose a new class of mapping-based nonlinear quadratic Volterra filters for image enhancement. The input signal is mapped prior to filtering by a memoryless one-to-one nonl...
Reinhard Bernstein, Sanjit K. Mitra, Michael S. Mo...