In optical character recognition and document image analysis skew is introduced in coming documented image. Which degrade the performance of OCR and image analysis system so to detection and correction of skew angle is important step of preprocessing of document analysis. Many methods have been proposed by researchers for the detection of skew in binary image documents. The majority of them are...

We show using duality and category theory that the profinite completion  of a bounded distributive lattice expansion A is a homomorphic image of the canonical extension Aσ . Moreover the natural mapping μ : A →  can be extended to a surjection ν : Aσ ! Â.

This work considers the common problem of completing partially visible artifacts within a 3D scene. Human vision abilities to complete such artifacts are well studied within the realms of perceptual psychology. However, the psychological explanations for completion have received only limited application in the domain of 3D computer vision. Here, we examine prior work in this area of computer vi...

Entity images provide significant visual information that helps the construction of knowledge representations. Most conventional methods learn knowledge representations solely from structured triples, ignoring rich visual information extracted from entity images. In this paper, we propose a novel Image-embodied Knowledge Representation Learning model, where knowledge representations are learned...

Eye-tracking technology offers an intimate and immediate way of communicating with human thought processes, interpreting users’ behaviours and guiding a computer search through large image databases. In experiments involving image identification tasks, a target image was presented along with 24 other distractor images, while task completion times were measured for two modes of interface control...

Image inpainting or image completion consists in filling in the missing data of an image in a visually plausible way. Many works on this subject have been proposed these recent years. They can mainly be decomposed into two groups: geometric methods and texture synthesis methods. Texture synthesis methods work best with images containing only textures while geometric approaches are limited to sm...

Title of dissertation: TENSOR COMPLETION FOR MULTIDIMENSIONAL INVERSE PROBLEMS WITH APPLICATIONS TO MAGNETIC RESONANCE RELAXOMETRY Ariel Hafftka, Doctor of Philosophy, 2016 Dissertation directed by: Professor Wojciech Czaja Department of Mathematics This thesis deals with tensor completion for the solution of multidimensional inverse problems. We study the problem of reconstructing an approxima...

Road networks automatically extracted from digital imagery are in general incomplete and fragmented. Completeness and topology of the extracted network can be improved by the use of the global network structure which is a result of the function of roads as part of the transport network. This is especially – but not exclusively – important for the extraction of roads from imagery with low resolu...