Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Francisco L. Valverde"'
Publikováno v:
ICIP (1)
Scopus-Elsevier
Scopus-Elsevier
Segmentation in noisy images is an important and difficult problem in pattern recognition. Edge detection is a crucial step in this process. Current subjective and objective methods for evaluation and comparison of segmentation techniques are inadequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::727139e5a438eb43eed00f6f4465df10
https://doi.org/10.1109/icip.2001.959158
https://doi.org/10.1109/icip.2001.959158
Publikováno v:
Computer methods and programs in biomedicine. 73(3)
Vessel extraction is a fundamental step in certain medical imaging applications such as angiograms. Different methods are available to segment vessels in medical images, but they are not fully automated (initial vessel points are required) or they ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd38e4ce597191027c554b59072d1bd2
https://pubmed.ncbi.nlm.nih.gov/14980405
https://pubmed.ncbi.nlm.nih.gov/14980405
Publikováno v:
Advances in Artificial Intelligence — IBERAMIA 2002 ISBN: 9783540001317
IBERAMIA
IBERAMIA
A local deformable-model-based segmentation can be very helpful to extract objects from an image, especially when no prototype about the object is available. However, this technique can drive to an erroneous segmentation in noisy images, in case of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4479aa40d98a80a555c5e1bef2eaee8b
https://doi.org/10.1007/3-540-36131-6_88
https://doi.org/10.1007/3-540-36131-6_88
Publikováno v:
Scopus-Elsevier
ResearcherID
Advances in Artificial Intelligence – IBERAMIA 2004 ISBN: 9783540238065
IBERAMIA
ResearcherID
Advances in Artificial Intelligence – IBERAMIA 2004 ISBN: 9783540238065
IBERAMIA
Validations about contour detection for segmentation in medical images are traditionally carried out by visual human inspection. In this context, automatic and formal validation of results becomes essential. A formal non parametric statistical framew
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fee3147c34ab8d85fc4aa643f39198cb
http://www.scopus.com/inward/record.url?eid=2-s2.0-22944452105&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-22944452105&partnerID=MN8TOARS
Publikováno v:
Scopus-Elsevier
ICIP (3)
ICIP (3)
Deformable-model-based segmentation techniques can overcome some limitations of the traditional image processing techniques. Currently developed deformable models can cope with gaps and another irregularities in object boundaries. However, they prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::411437e1276392340699ce98ebfe78d6
http://www.scopus.com/inward/record.url?eid=2-s2.0-0035168329&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-0035168329&partnerID=MN8TOARS