{"title":"基于模糊数学形态学的多方向边缘检测算法","authors":"Dongchuan Hu, X. Tian","doi":"10.1109/ICAT.2006.15","DOIUrl":null,"url":null,"abstract":"This paper brings forward a multi-directions algorithm for image edge detection based on fuzzy mathematical morphology. In this algorithm, we integrate the multi-directions characteristic of structure elements and fuzzy image characteristic into mathematical morphology, and then use mathematical morphology to detect image edge. It is indicated from experiment that this algorithm has succeeded in edge detection, and it has better effect than other traditional arithmetic operators of edge detection.","PeriodicalId":133842,"journal":{"name":"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":"{\"title\":\"A Multi-Directions Algorithm for Edge Detection Based on Fuzzy Mathematical Morphology\",\"authors\":\"Dongchuan Hu, X. Tian\",\"doi\":\"10.1109/ICAT.2006.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper brings forward a multi-directions algorithm for image edge detection based on fuzzy mathematical morphology. In this algorithm, we integrate the multi-directions characteristic of structure elements and fuzzy image characteristic into mathematical morphology, and then use mathematical morphology to detect image edge. It is indicated from experiment that this algorithm has succeeded in edge detection, and it has better effect than other traditional arithmetic operators of edge detection.\",\"PeriodicalId\":133842,\"journal\":{\"name\":\"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAT.2006.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAT.2006.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Multi-Directions Algorithm for Edge Detection Based on Fuzzy Mathematical Morphology
This paper brings forward a multi-directions algorithm for image edge detection based on fuzzy mathematical morphology. In this algorithm, we integrate the multi-directions characteristic of structure elements and fuzzy image characteristic into mathematical morphology, and then use mathematical morphology to detect image edge. It is indicated from experiment that this algorithm has succeeded in edge detection, and it has better effect than other traditional arithmetic operators of edge detection.