Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Robust Automatic Threshold Selection

Autor: Lehmann, Gaetan

Publikováno v: Africa Insight
Africa Insight, Africa Institute of South Africa, 2006, pp.1-4

Robust Automatic Threshold Selection (RATS) is a fast and noise robust automatic thresholding method based on gradients in the image. The basic idea is to choose the threshold at the intensity where the gradient are the highest.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc678796595fe0a55864e7f631e855bb
https://doi.org/10.54294/7w23qz

Blood Vessel Segmentation Using Moving-Window Robust Automatic Threshold Selection

Two moving-window methods, using either flat or Gaussian weighted windows, for local thresholding with Robust Automatic Threshold Selection are developed. The results show that fast segmentation of blood vessels against a varying background and noise

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dris___00893::49b59e009d9727904f402277597c276c
https://hdl.handle.net/11370/e8506ad7-adb5-464e-ab43-9b9bf1e0cf08

Gaussian-Weighted Moving-Window Robust Automatic Threshold Selection

Autor: Michael H. F. Wilkinson

Publikováno v: Computer Analysis of Images and Patterns ISBN: 9783540407300
CAIP

A multi-scale, moving-window method for local thresholding based on Robust Automatic Threshold Selection (RATS) is developed. Using a model for the noise response of the optimal edge detector in this context, the reliability of thresholds computed at

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::668c56a645221ff1913e7a301d7833f6
https://doi.org/10.1007/978-3-540-45179-2_46

Blood vessel segmentation using moving-window robust automatic threshold selection

Autor: Michael H. F. Wilkinson, T. Wijbenga, G. de Vries, Michel A. Westenberg

Publikováno v: 2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 2, PROCEEDINGS, 1093-1096
STARTPAGE=1093;ENDPAGE=1096;TITLE=2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 2, PROCEEDINGS
University of Groningen
ICIP (2)
ResearcherID
Proceedings IEEE Conference on Image Processing (ICIP 2003, Barcelona, Spain, September 14-17, 2003), 2, 1093-1096

Two moving-window methods, using either flat or Gaussian weighted windows, for local thresholding with robust automatic threshold selection are developed. The results show that fast segmentation of blood vessels against a varying background and noise

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e67a80d9c9b751e85564d05149013a1
https://doi.org/10.1109/icip.2003.1246876