{"title":"分形与强度在图像分割中的结合","authors":"Jie Feng, Wei-Chung Lin, Chin-Tu Chen","doi":"10.1109/IEMBS.1996.652713","DOIUrl":null,"url":null,"abstract":"A new segmentation approach is proposed to integrate both the directional fractal dimension and the histogram analyses. To detect weaker features, adaptive local enhancement is performed. This results in a more accurate segmentation capable of detecting fine and subtle details in a noisy image.","PeriodicalId":20427,"journal":{"name":"Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","volume":"6 1","pages":"1071-1072 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Integrating fractal and intensity in image segmentation\",\"authors\":\"Jie Feng, Wei-Chung Lin, Chin-Tu Chen\",\"doi\":\"10.1109/IEMBS.1996.652713\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new segmentation approach is proposed to integrate both the directional fractal dimension and the histogram analyses. To detect weaker features, adaptive local enhancement is performed. This results in a more accurate segmentation capable of detecting fine and subtle details in a noisy image.\",\"PeriodicalId\":20427,\"journal\":{\"name\":\"Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"volume\":\"6 1\",\"pages\":\"1071-1072 vol.3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.1996.652713\",\"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 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMBS.1996.652713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrating fractal and intensity in image segmentation
A new segmentation approach is proposed to integrate both the directional fractal dimension and the histogram analyses. To detect weaker features, adaptive local enhancement is performed. This results in a more accurate segmentation capable of detecting fine and subtle details in a noisy image.
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