{"title":"高斯极大值滤波器(GMF):一种新的图像尺度空间平滑方法","authors":"J. Bhattacharya, S. Majumder, G. Sanyal","doi":"10.1109/INDCON.2010.5712649","DOIUrl":null,"url":null,"abstract":"The detection of fine feature from an image is often challenging. Generally, the smoothing filters used for the purpose are inadequate for such applications with the exception of bilateral and mean shift filter. A new smoothing filter termed Gaussian Maxima Filter(GMF), developed and presented here shows better performance in preserving fine features even for relatively large window size. This paper also presents necessary analysis along with experimental results obtained from GMF.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Gaussian Maxima Filter (GMF): A new approach for scale-space smoothing of an image\",\"authors\":\"J. Bhattacharya, S. Majumder, G. Sanyal\",\"doi\":\"10.1109/INDCON.2010.5712649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The detection of fine feature from an image is often challenging. Generally, the smoothing filters used for the purpose are inadequate for such applications with the exception of bilateral and mean shift filter. A new smoothing filter termed Gaussian Maxima Filter(GMF), developed and presented here shows better performance in preserving fine features even for relatively large window size. This paper also presents necessary analysis along with experimental results obtained from GMF.\",\"PeriodicalId\":109071,\"journal\":{\"name\":\"2010 Annual IEEE India Conference (INDICON)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Annual IEEE India Conference (INDICON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INDCON.2010.5712649\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Annual IEEE India Conference (INDICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDCON.2010.5712649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Gaussian Maxima Filter (GMF): A new approach for scale-space smoothing of an image
The detection of fine feature from an image is often challenging. Generally, the smoothing filters used for the purpose are inadequate for such applications with the exception of bilateral and mean shift filter. A new smoothing filter termed Gaussian Maxima Filter(GMF), developed and presented here shows better performance in preserving fine features even for relatively large window size. This paper also presents necessary analysis along with experimental results obtained from GMF.