Title :
Fast merging algorithm for image segmentation based on date structure
Author :
Shan, Zhao ; Shui, Wang
Author_Institution :
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
Abstract :
For the complexity of the algorithm for the merger of the regional boundary. A new algorithm - the Full λ Edge List Segmentation Algorithm(FELSA) is presented. Firstly, A new list - edge list in date structure of segmentation region is introduced to improve the boundaries of multi-partition approach, and the updates value of merger list in FLSA algorithm is re-defined. Thus, segmentation algorithm may select the best boundary for the merger according to the edge list. Furthermore, the adjacent part of the region is defined by edge list, so that a new edge can be retrieved more efficiently. The results show that this improved algorithm become more efficient and effective to the merger of image segmentation.
Keywords :
boundary-value problems; edge detection; image segmentation; merging; date structure; full λ edge list segmentation algorithm; image segmentation; merging algorithm; regional boundary; Image edge detection; Image segmentation; Edge List; FELSA Date Structure; Segmentation merging;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8004-3
DOI :
10.1109/KAM.2010.5646253