{"title":"空间非齐次卡尔曼滤波及其在头颅测量图像中的应用研究","authors":"Sun Xinding, Wang Yan, Xu Zhenming, X. Changsheng","doi":"10.1109/ICSIGP.1996.566280","DOIUrl":null,"url":null,"abstract":"In the view of problems by processing the lateral cephalometric films in the automatic cephalometric analysis system, a noise-removing Kalman filter in spatial non-homogeneous images is proposed. The noise is effectively reduced and the edges in the image are preserved by adding information about the edges to the input of the filter. This approach can avoid the computational burden caused by the model parameter identification.","PeriodicalId":385432,"journal":{"name":"Proceedings of Third International Conference on Signal Processing (ICSP'96)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on spatial non-homogenous Kalman filter and its application in cephalometric image\",\"authors\":\"Sun Xinding, Wang Yan, Xu Zhenming, X. Changsheng\",\"doi\":\"10.1109/ICSIGP.1996.566280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the view of problems by processing the lateral cephalometric films in the automatic cephalometric analysis system, a noise-removing Kalman filter in spatial non-homogeneous images is proposed. The noise is effectively reduced and the edges in the image are preserved by adding information about the edges to the input of the filter. This approach can avoid the computational burden caused by the model parameter identification.\",\"PeriodicalId\":385432,\"journal\":{\"name\":\"Proceedings of Third International Conference on Signal Processing (ICSP'96)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Third International Conference on Signal Processing (ICSP'96)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSIGP.1996.566280\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Third International Conference on Signal Processing (ICSP'96)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIGP.1996.566280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on spatial non-homogenous Kalman filter and its application in cephalometric image
In the view of problems by processing the lateral cephalometric films in the automatic cephalometric analysis system, a noise-removing Kalman filter in spatial non-homogeneous images is proposed. The noise is effectively reduced and the edges in the image are preserved by adding information about the edges to the input of the filter. This approach can avoid the computational burden caused by the model parameter identification.