F. Derraz, A. Taleb-Ahmed, M. Beladgham, M. Khelif
{"title":"Evaluation of segmentation quality for the geometrical active contour method","authors":"F. Derraz, A. Taleb-Ahmed, M. Beladgham, M. Khelif","doi":"10.1109/ISPA.2005.195441","DOIUrl":null,"url":null,"abstract":"A new measure of quality is proposed for evaluating the performance of geometrical active segmentation based on level-set method's. The technique is intended for the evaluation of the segmented image and features objective assessment of discrepancy with the theoretical contours, in tandem with subjective visual evaluation using F-measure criteria. The proposed mathematical model is extremely simple, even from the perspective of computational cost. Encouraging results were obtained for a selection of test images, especially in relation to other recently proposed and/or currently employed quality measures in medical image segmentation area.","PeriodicalId":238993,"journal":{"name":"ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPA.2005.195441","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
A new measure of quality is proposed for evaluating the performance of geometrical active segmentation based on level-set method's. The technique is intended for the evaluation of the segmented image and features objective assessment of discrepancy with the theoretical contours, in tandem with subjective visual evaluation using F-measure criteria. The proposed mathematical model is extremely simple, even from the perspective of computational cost. Encouraging results were obtained for a selection of test images, especially in relation to other recently proposed and/or currently employed quality measures in medical image segmentation area.