{"title":"小波表示中图像分解与分析的超立方体算法","authors":"T. Huntsberger, B.A. Huntsberger","doi":"10.1109/DMCC.1990.555380","DOIUrl":null,"url":null,"abstract":"The tremendous amount of data contained in an image oftentimes precludes the extraction of useful information in real-time environments. A multiresolution representation can be used to obtain structural properties of a single image or sequences of images[8]. These structural properties are useful for such operations as texture analysis, image segmentation, object identification and stereo mat ching[7,12,11].","PeriodicalId":204431,"journal":{"name":"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Hypercube Algorithm for Image Decomposition and Analysis in the Wavelet Representation\",\"authors\":\"T. Huntsberger, B.A. Huntsberger\",\"doi\":\"10.1109/DMCC.1990.555380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The tremendous amount of data contained in an image oftentimes precludes the extraction of useful information in real-time environments. A multiresolution representation can be used to obtain structural properties of a single image or sequences of images[8]. These structural properties are useful for such operations as texture analysis, image segmentation, object identification and stereo mat ching[7,12,11].\",\"PeriodicalId\":204431,\"journal\":{\"name\":\"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fifth Distributed Memory Computing Conference, 1990.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DMCC.1990.555380\",\"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 the Fifth Distributed Memory Computing Conference, 1990.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DMCC.1990.555380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hypercube Algorithm for Image Decomposition and Analysis in the Wavelet Representation
The tremendous amount of data contained in an image oftentimes precludes the extraction of useful information in real-time environments. A multiresolution representation can be used to obtain structural properties of a single image or sequences of images[8]. These structural properties are useful for such operations as texture analysis, image segmentation, object identification and stereo mat ching[7,12,11].
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