{"title":"基于动态规划的医学图像最优边缘检测算法","authors":"Bin Lee, Jia-yong Yan, T. Zhuang","doi":"10.1109/MIAR.2001.930285","DOIUrl":null,"url":null,"abstract":"This paper explores a novel dynamic programming (DP) based optimal technique in ultrasound image (USI) edge detection, which is less constrained now than previous. Dynamic programming is an optimal approach in multistage decision-making. In an image segmentation system, we want to find a global optimal contour with connectedness and closeness. The DP algorithms process the object image to get the minimum cumulative cost matrix to tracing a global optimal edge. Combined with LUM nonlinear enhancement filter and Gaussian preprocessor, this method shows robustness on noisy image edge detection.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"216 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"A dynamic programming based algorithm for optimal edge detection in medical images\",\"authors\":\"Bin Lee, Jia-yong Yan, T. Zhuang\",\"doi\":\"10.1109/MIAR.2001.930285\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper explores a novel dynamic programming (DP) based optimal technique in ultrasound image (USI) edge detection, which is less constrained now than previous. Dynamic programming is an optimal approach in multistage decision-making. In an image segmentation system, we want to find a global optimal contour with connectedness and closeness. The DP algorithms process the object image to get the minimum cumulative cost matrix to tracing a global optimal edge. Combined with LUM nonlinear enhancement filter and Gaussian preprocessor, this method shows robustness on noisy image edge detection.\",\"PeriodicalId\":375408,\"journal\":{\"name\":\"Proceedings International Workshop on Medical Imaging and Augmented Reality\",\"volume\":\"216 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Workshop on Medical Imaging and Augmented Reality\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MIAR.2001.930285\",\"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 International Workshop on Medical Imaging and Augmented Reality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIAR.2001.930285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A dynamic programming based algorithm for optimal edge detection in medical images
This paper explores a novel dynamic programming (DP) based optimal technique in ultrasound image (USI) edge detection, which is less constrained now than previous. Dynamic programming is an optimal approach in multistage decision-making. In an image segmentation system, we want to find a global optimal contour with connectedness and closeness. The DP algorithms process the object image to get the minimum cumulative cost matrix to tracing a global optimal edge. Combined with LUM nonlinear enhancement filter and Gaussian preprocessor, this method shows robustness on noisy image edge detection.
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