{"title":"基于联想记忆概念的纹理分析并行架构","authors":"H. Araujo, A. de Almeida","doi":"10.1109/ISIC.1988.65504","DOIUrl":null,"url":null,"abstract":"A special architecture for texture analysis and recognition that is inherently parallel and aimed at hardware implementation is described. It has the advantage of making possible real-time recognition (at frame rates). The architecture is based on the concept of associative memory, which has learning and recognizing capabilities. This architecture achieved high rates of recognition. With image processing, over 90% correct classification was obtained. Starting from the concept of associative memory, several implementations were considered and compared.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"526 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A parallel architecture for texture analysis based on the concept of associative memory\",\"authors\":\"H. Araujo, A. de Almeida\",\"doi\":\"10.1109/ISIC.1988.65504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A special architecture for texture analysis and recognition that is inherently parallel and aimed at hardware implementation is described. It has the advantage of making possible real-time recognition (at frame rates). The architecture is based on the concept of associative memory, which has learning and recognizing capabilities. This architecture achieved high rates of recognition. With image processing, over 90% correct classification was obtained. Starting from the concept of associative memory, several implementations were considered and compared.<<ETX>>\",\"PeriodicalId\":155616,\"journal\":{\"name\":\"Proceedings IEEE International Symposium on Intelligent Control 1988\",\"volume\":\"526 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE International Symposium on Intelligent Control 1988\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.1988.65504\",\"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 IEEE International Symposium on Intelligent Control 1988","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.1988.65504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A parallel architecture for texture analysis based on the concept of associative memory
A special architecture for texture analysis and recognition that is inherently parallel and aimed at hardware implementation is described. It has the advantage of making possible real-time recognition (at frame rates). The architecture is based on the concept of associative memory, which has learning and recognizing capabilities. This architecture achieved high rates of recognition. With image processing, over 90% correct classification was obtained. Starting from the concept of associative memory, several implementations were considered and compared.<>
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