A generic filter concept for the generation of BIM-based domain- and system-oriented model views

2012 ◽  
pp. 311-319 ◽  
Author(s):  
R Windisch ◽  
A Wülfing ◽  
R Scherer
Keyword(s):  
Generic Filter

scholarly journals Efficient contour detection in binary and label images

2008 ◽  
Author(s):  
Gaetan Lehmann
Keyword(s):  
Execution Time ◽  
Contour Detection ◽  
Binary Image ◽  
Multiprocessor Systems ◽  
Similar Performance ◽  
Performance Improvements ◽  
Structuring Element ◽  
Generic Filter ◽  
Shape And Size

ly in ITK, the only way to find the contour of the objects in a binary image is to use the BinaryErodeImageFilter, with a kernel of radius 1. This filter is a generic filter, made to support any shape and size of structuring element, and thus is not optimized for the particular case needed to detect the contours. Moreover, that filter is not multithreaded, so it can’t get the performance improvements allowed by the multiprocessor systems. As a result, the contour detection can be quite time consuming currently – for example, in SignedMaurerDistanceMapImageFilter, the contour detection takes about 33% of the execution time. This contribution comes with a new filter which highly improve the performance of the contour detection in the binary image, and a second filter which allow the detection of the countours in label images with similar performance.

scholarly journals CLASS FORCING, THE FORCING THEOREM AND BOOLEAN COMPLETIONS

2016 ◽  
Vol 81 (4) ◽  
pp. 1500-1530 ◽  
Author(s):  
PETER HOLY ◽  
REGULA KRAPF ◽  
PHILIPP LÜCKE ◽  
ANA NJEGOMIR ◽  
PHILIPP SCHLICHT
Keyword(s):  
Combinatorial Property ◽  
Fundamental Result ◽  
Generic Extension ◽  
Negative Results ◽  
Generic Filter ◽  
Class Forcing

AbstractThe forcing theorem is the most fundamental result about set forcing, stating that the forcing relation for any set forcing is definable and that the truth lemma holds, that is everything that holds in a generic extension is forced by a condition in the relevant generic filter. We show that both the definability (and, in fact, even the amenability) of the forcing relation and the truth lemma can fail for class forcing.In addition to these negative results, we show that the forcing theorem is equivalent to the existence of a (certain kind of) Boolean completion, and we introduce a weak combinatorial property (approachability by projections) that implies the forcing theorem to hold. Finally, we show that unlike for set forcing, Boolean completions need not be unique for class forcing.

scholarly journals A Threshold with Hysteresis

2011 ◽  
Author(s):  
Sergio Vera ◽  
Frederic Perez ◽  
Laura Lara ◽  
Miguel Gonzalez
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Canny Edge Detection ◽  
Generic Filter ◽  
Canny Edge ◽  
Hysteresis Thresholding ◽  
Detection Filter

Thresholding is perhaps one of the most basic techniques in image processing. The Insight Toolkit (ITK) includes several threshold filters ranging from simple ones to Otsu based thresholding. Deep into the implementation of the Canny edge detection filter, ITK includes an implementation of hysteresis thresholding, but unfortunately this method can not be used as a generic filter. This paper presents an implementation of the hysteresis thresholding filter that can be used as a standalone ITK filter.

A Multi-Sensor Navigation Filter for High Accuracy Positioning in all Environments

2007 ◽  
Vol 60 (3) ◽  
pp. 409-425 ◽  
Author(s):  
Chris Hide ◽  
Terry Moore ◽  
Chris Hill
Keyword(s):  
Ultra Wideband ◽  
Test Bed ◽  
Plug And Play ◽  
System A ◽  
Mobile Test ◽  
Early Results ◽  
Generic Filter ◽  
Space Project ◽  
Accurate Position ◽  
Position Solution

The aim of the SPACE project is to develop a mobile test bed that can position to within centimetres in all conditions and environments. To achieve this goal, a number of different positioning technologies have to be integrated together including GNSS, INS, pseudolites and other technologies such as Ultra Wideband and Bluetooth ranging. The integration of these sensors is achieved by the development of a ‘plug and play’ filter that will optimally combine measurements from each sensor to form an accurate position solution. The filter has been designed so that the sensors are integrated at the measurement level wherever possible, so partial measurements from different systems can be used together.This paper describes the development of the plug and play filter, focussing in particular on how the states are defined, how the measurements are used, and how a generic filter can be developed that can integrate all types of positioning sensor. Some early results from the filter are shown integrating GPS, INS and simulated measurements from an Ultra Wideband system. A prototype version of the mobile test bed is also described.

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