Parts produced by additive manufacturing (AM) often require post processing to improve surface finish and mechanical properties. However, little attention has been given to including deformation in the post processing. Deformation post-processing can address some part size, manufacturing cost, and geometry limitations of 3D printing. Additionally, it could be used to create 3D surfaces using pl...

Abstact. Bioinformatics and data mining require data analysis schemes. Many methods of analysis, such as those focusing on entropy, have been developed and assume that the input data has discrete values. Therefore, when using continuous data, discretization needs to be performed before analysis can begin. Many discretization algorithms have been proposed, and these discretize a given dataset at...

For a general pair of a given nonconforming and a desired conforming nite element space, we construct and analyze a transfer operator that can be used for a post-processing procedure where a conforming approximation is computed from a nonconforming nite element solution. For this post-processing, we prove local and global estimates of the error between the exact solution and the conforming appr...

We present a lexicon-free post-processing method for optical character recognition (OCR), implemented using weighted finite state machines. We evaluate the technique in a number of scenarios relevant for natural language processing, including creation of new OCR capabilities for low density languages, improvement of OCR performance for a native commercial system, acquisition of knowledge from a...

Image post-processing of dental digital radiographs, a function which used commonly in dental practice is presented in this article. Digital radiography has been available in dentistry for more than 25 years and its use by dental practitioners is steadily increasing. Digital acquisition of radiographs enables computer-based image post-processing to enhance image quality and increase the accurac...

We present a framework for tracking contours in 2D image sequences by taking into account the motion information and correspondence between contour points. With this framework, The tracking problem can be divided into two steps: i) Contour detection using general internal and external energies in separate frames, and ii) Tracking and refining contours using motion information of the entire imag...

Introduction Texture filtering is a critical part in many rendering and post-processing methods. If we do it naively, the fragment shader needs to access the texture memory many times to fetch values in the neighborhood of the processed texel. This article presents an efficient filtering algorithm that minimizes the number of texture fetches. The algorithm is based on importance sampling and al...

We discuss post-processing of speech that has been recorded during Magnetic Resonance Imaging (MRI) of the vocal tract area. These speech recordings are contaminated by high levels of acoustic noise from the MRI scanner. Also, the frequency response of the sound signal path is not flat as a result of restrictions on recording instrumentation and arrangements due to MRI technology. The post-proc...

A toolbox for the development and reduction of the dynamical models of nonequilibrium systems is presented. The main components of this toolbox are: Legendre integrators, dynamical post-processing, and the thermodynamic projector. The thermodynamic projector is the tool to transform almost any anzatz to a thermodynamically consistent model. The post-processing is the cheapest way to improve the...

Image segmentation is a fundamental step in many of image processing applications. In most cases the image’s pixels are clustered only based on the pixels’ intensity or color information and neither spatial nor neighborhood information of pixels is used in the clustering process. Considering the importance of including spatial information of pixels which improves the quality of image segmentati...