F. Derraz, A. Taleb-Ahmed, M. Beladgham, M. Khelif
{"title":"几何活动轮廓法分割质量评价","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":"{\"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}","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}
Evaluation of segmentation quality for the geometrical active contour method
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.