{"title":"Fast merging algorithm for image segmentation based on date structure","authors":"Z. Shan, W. Shui","doi":"10.1109/KAM.2010.5646253","DOIUrl":null,"url":null,"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.","PeriodicalId":160788,"journal":{"name":"2010 Third International Symposium on Knowledge Acquisition and Modeling","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Third International Symposium on Knowledge Acquisition and Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KAM.2010.5646253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.