{"title":"ARM9嵌入式系统的图像采集与处理","authors":"Guohao Yang, Kewei Shen","doi":"10.1109/ICASID.2010.5551517","DOIUrl":null,"url":null,"abstract":"It is a new system that established on the platform of the ARM9 and ZC301 camera. It can capture images by line analysis. In order to obtain reliable and efficient image recognition results, an ARM9 hardware platform for the image recognition system has been used. In this system, the Principal Component Analysis(PCA) can be used to analyze and process images. And then the effective features of the image are obtained. Through this process, the image can be distinguished and classified automatically.","PeriodicalId":391931,"journal":{"name":"2010 International Conference on Anti-Counterfeiting, Security and Identification","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"ARM9 embedded system of the image acquisition and processing\",\"authors\":\"Guohao Yang, Kewei Shen\",\"doi\":\"10.1109/ICASID.2010.5551517\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is a new system that established on the platform of the ARM9 and ZC301 camera. It can capture images by line analysis. In order to obtain reliable and efficient image recognition results, an ARM9 hardware platform for the image recognition system has been used. In this system, the Principal Component Analysis(PCA) can be used to analyze and process images. And then the effective features of the image are obtained. Through this process, the image can be distinguished and classified automatically.\",\"PeriodicalId\":391931,\"journal\":{\"name\":\"2010 International Conference on Anti-Counterfeiting, Security and Identification\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Anti-Counterfeiting, Security and Identification\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASID.2010.5551517\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Anti-Counterfeiting, Security and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2010.5551517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ARM9 embedded system of the image acquisition and processing
It is a new system that established on the platform of the ARM9 and ZC301 camera. It can capture images by line analysis. In order to obtain reliable and efficient image recognition results, an ARM9 hardware platform for the image recognition system has been used. In this system, the Principal Component Analysis(PCA) can be used to analyze and process images. And then the effective features of the image are obtained. Through this process, the image can be distinguished and classified automatically.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
