Difference between revisions of "Publications:A novel technique to extract accurate cell contours applied to analysis of phytoplankton images"
(Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Gelzinis Adas, Antanas Verikas, Vaiciukynas Evaldas, Bacauskiene Marija |PI...") |
|||
| Line 4: | Line 4: | ||
{{PublicationSetupTemplate|Author=Gelzinis Adas, Antanas Verikas, Vaiciukynas Evaldas, Bacauskiene Marija | {{PublicationSetupTemplate|Author=Gelzinis Adas, Antanas Verikas, Vaiciukynas Evaldas, Bacauskiene Marija | ||
|PID=778099 | |PID=778099 | ||
| − | |Name=Adas, Gelzinis (Department of Electrical Power Systems, Kaunas University of Technology, Kaunas, Lithuania);Verikas, Antanas | + | |Name=Adas, Gelzinis (Department of Electrical Power Systems, Kaunas University of Technology, Kaunas, Lithuania);Verikas, Antanas (av) (0000-0003-2185-8973) (Högskolan i Halmstad (2804), Akademin för informationsteknologi (16904), Halmstad Embedded and Intelligent Systems Research (EIS) (3938), Laboratoriet för intelligenta system (6703)) (Department of Electrical Power Systems, Kaunas University of Technology, Kaunas, Lithuania);Evaldas, Vaiciukynas (Department of Electrical Power Systems & Department of Information Systems, Kaunas University of Technology, Kaunas, Lithuania);Marija, Bacauskiene (Department of Electrical Power Systems, Kaunas University of Technology, Kaunas, Lithuania) |
|Title=A novel technique to extract accurate cell contours applied to analysis of phytoplankton images | |Title=A novel technique to extract accurate cell contours applied to analysis of phytoplankton images | ||
|PublicationType=Journal Paper | |PublicationType=Journal Paper | ||
Latest revision as of 22:41, 30 September 2016
Property "Publisher" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user. Property "Author" has a restricted application area and cannot be used as annotation property by a user.
| Title | A novel technique to extract accurate cell contours applied to analysis of phytoplankton images |
|---|---|
| Author | |
| Year | 2015 |
| PublicationType | Journal Paper |
| Journal | Machine Vision and Applications |
| HostPublication | |
| Conference | |
| DOI | http://dx.doi.org/10.1007/s00138-014-0643-0 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:778099 |
| Abstract | Active contour model (ACM) is an image segmentation technique widely applied for object detection. Most of the research in ACM area is dedicated to the development of various energy functions based on physical intuition. Here, instead of constructing a new energy function, we manipulate values of ACM parameters to generate a multitude of potential contours, score them using a machine-learned ranking technique, and select the best contour for each object in question. Several learning-to-rank (L2R) methods are evaluated with a goal to choose the most accurate in assessing the quality of generated contours. Superiority of the proposed segmentation approach over the original boosted edge-based ACM and three ACM implementations using the level-set framework is demonstrated for the task of Prorocentrum minimum cells’ detection in phytoplankton images. Experiments show that diverse set of contour features with grading learned by a variant of multiple additive regression trees (λ-MART) helped to extract precise contour for 87.6 % of cells tested. |
