New fully automatic method for CR image composition by white-band detection and consistency rechecking

2001 ◽  
Author(s):  
Guo-Qing Wei ◽  
JianZhong Qian ◽  
Zhenyu Wu ◽  
Helmut F. Schramm
2016 ◽  
Vol 5 (2) ◽  
pp. 305-314 ◽  
Author(s):  
Tuomas Savolainen ◽  
Daniel Keith Whiter ◽  
Noora Partamies

Abstract. In this paper we describe a new and fully automatic method for segmenting and classifying digits in seven-segment displays. The method is applied to a dataset consisting of about 7 million auroral all-sky images taken during the time period of 1973–1997 at camera stations centred around Sodankylä observatory in northern Finland. In each image there is a clock display for the date and time together with the reflection of the whole night sky through a spherical mirror. The digitised film images of the night sky contain valuable scientific information but are impractical to use without an automatic method for extracting the date–time from the display. We describe the implementation and the results of such a method in detail in this paper.


Author(s):  
Eva M. van Rikxoort ◽  
Maya Galperin-Aizenberg ◽  
Fereidoun Abtin ◽  
Hyun J.G. Kim ◽  
Peiyun Lu ◽  
...  

2020 ◽  
Vol 33 (4) ◽  
pp. 533-544
Author(s):  
Jean-Baptiste Davion ◽  
Gregory Kuchcinski ◽  
Romain Viard ◽  
Julien Dumont ◽  
Jean-Pierre Pruvo ◽  
...  

Diagnostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 289
Author(s):  
Mahmudur G. M. Rahman ◽  
Muhammad M. Islam ◽  
Tetsuya Tsujikawa ◽  
Hidehiko Okazawa

A fully automatic method for specific binding ratio (SBR) calculation in [123I]ioflupane single-photon emission computed tomography (SPECT) studies was proposed by creating volumes of interest of the striatum (VOIst) and reference region (VOIref) without manual handling to avoid operator-induced variability. The study involved 105 patients (72 ± 10 years) suspected of parkinsonian syndrome (PS) who underwent [123I]ioflupane SPECT. The 200 images from our previous study were used for evaluation and validation of the new program. All patients were classified into PS and non-PS groups according to the results of clinical follow-up. A trapezoidal volume of interest (VOIt) containing all striatal intensive counts was created automatically, followed by VOIst setting using the previous method. SBR values were calculated from the mean values of VOIst and VOIref determined by the whole brain outside of VOIt. The low count voxels in the VOIref were excluded using an appropriate threshold. The SBR values from the new method were compared with the previous semi-automatic method and the Tossici–Bolt (TB) method. The SBRs from the semi- and fully automatic methods showed a good linear correlation (r > 0.98). The areas under the curves (AUCs) of receiver operating characteristic analysis showed no significant difference between the two methods for both our previous (AUC > 0.99) and new (AUC > 0.95) data. The diagnostic accuracy of the two methods showed similar results (>92%), and both were better than the TB method. The proposed method successfully created the automatic VOIs and calculated SBR rapidly (9 ± 1 s/patient), avoiding operator-induced variability and providing objective SBR results.


2016 ◽  
Vol 20 (4) ◽  
pp. 1148-1159 ◽  
Author(s):  
Abhik Datta ◽  
Adams Wai-Kin Kong ◽  
Kin-Choong Yow

2019 ◽  
Vol 9 (11) ◽  
pp. 2322 ◽  
Author(s):  
Mateo Ramos-Merino ◽  
Luis M. Álvarez-Sabucedo ◽  
Juan M. Santos-Gago ◽  
Francisco de Arriba-Pérez

BPMN (Business Process Model and Notation) is currently the preferred standard for the representation and analysis of business processes. The elaboration of these BPMN diagrams is usually carried out in an entirely manual manner. As a result of this human-driven process, it is not uncommon to find diagrams that are not in their most simplified version possible (regarding the number of elements). This work presents a fully automatic method to simplify a BPMN process model document. A two-phase iterative algorithm to achieve this simplification is described in detail. This algorithm follows a heuristic approach that makes intensive use of a Pattern Repository. This software element is concerned with the description of feasible reductions and its enactment. The critical concept lies in the discovery of small reducible patterns in the whole model and their substitution with optimised versions. This approach has been verified through a double validation testing in total 8102 cases taken from real world BPMN process models. Details for its implementation and usage by practitioners are provided in this paper along with a comparison with other existing techniques concerned with similar goals.


2014 ◽  
Vol 114 (1) ◽  
pp. 11-28 ◽  
Author(s):  
F. López-Mir ◽  
V. Naranjo ◽  
J. Angulo ◽  
M. Alcañiz ◽  
L. Luna

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