Title :
Root Detection By Hierarchical Seed Expansion
Author :
Erz, Gregor ; Posch, Stefan
Author_Institution :
Inst. of Comput. Sci., Halle Univ.
Abstract :
Analysing plant root images is time consuming but very important for ecological, agronomic and biological studies. In this paper we focus on the second of two phases which expands a given part of a root to cover its whole projection in the image extending our fully automatic analysis approach. Employing a hierarchical A* algorithm allows to use a more sophisticated estimation of the occurring remaining costs thus speeding up search substantially. This approach also allows a finer tuning of the root model and eases the use of previous knowledge by providing an intelligent restriction of the search space
Keywords :
biology computing; botany; object detection; search problems; vegetation; hierarchical A* algorithm; hierarchical seed expansion; minirhizotron; plant root images; root detection; root model; search space; Active contours; Biological materials; Costs; Endoscopes; Image analysis; Image databases; Phase detection; Pixel; Plants (biology); Soil; A; minirhizotron; root detection;
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1630107