{"title":"击穿点和最优软形态滤波","authors":"P. Koivisto, K. Huttunen, P. Kuosmanen","doi":"10.1109/DSPWS.1996.555569","DOIUrl":null,"url":null,"abstract":"A novel filter optimality criterion based on the breakdown point constraint is proposed. The criterion provides a trade-off between noise attenuation and detail preservation. The formulas for the breakdown points of the basic soft morphological filters are derived. The practical applicability of the criterion is empirically studied in connection with the optimization of soft morphological filters by simulated annealing and genetic algorithms.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"519 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Breakdown points and optimal soft morphological filtering\",\"authors\":\"P. Koivisto, K. Huttunen, P. Kuosmanen\",\"doi\":\"10.1109/DSPWS.1996.555569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel filter optimality criterion based on the breakdown point constraint is proposed. The criterion provides a trade-off between noise attenuation and detail preservation. The formulas for the breakdown points of the basic soft morphological filters are derived. The practical applicability of the criterion is empirically studied in connection with the optimization of soft morphological filters by simulated annealing and genetic algorithms.\",\"PeriodicalId\":131323,\"journal\":{\"name\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"volume\":\"519 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSPWS.1996.555569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 IEEE Digital Signal Processing Workshop Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSPWS.1996.555569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Breakdown points and optimal soft morphological filtering
A novel filter optimality criterion based on the breakdown point constraint is proposed. The criterion provides a trade-off between noise attenuation and detail preservation. The formulas for the breakdown points of the basic soft morphological filters are derived. The practical applicability of the criterion is empirically studied in connection with the optimization of soft morphological filters by simulated annealing and genetic algorithms.