| 摘 要: 图像识别及其图像修复技术在目前的数字化领域应用非常广泛，在金融、安防领域尤为突出。因此，从 经济和实用性角度出发基于大数据的图像修复技术有着广阔的应用前景。但大数据环境下复杂的数据存储是数据图像修 复的关键，如何建立一个高效、安全、高容量的基于大数据平台的数据库，是数据库建立需要考虑的关键问题。下文从 数据库架构的构成、应用目的、数据量大小、访问量、安全要求等各个角度研究和讨论图像数据库的建立，力求使数据 库建立在安全、合理、流畅的数据库架构之上，达到最优的数据库架构模型。 |
| 关键词: 图像识别；图像处理；大数据；架构 |
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中图分类号: TP392
文献标识码: A
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| 基金项目: 安徽省高校省级自然科学研究重点项目“基于大数据的数字图像修复技术的研究与实现”(KJ2016A782)阶段性成果，安徽省省级质量工程项目“动漫设计与制作专业 实践教育基地”(2015sjjd037)阶段性成果. |
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| Design and Implementation of Image Database Architecture Based on Big Data Platform |
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WANG Li,ZHANG Yong
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( Department of Computer Information, Suzhou Vocational and Technological College, Suzho 234101, China)
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| Abstract: Image recognition and image restoration technology are widely used in the current digital fields,especially in the fields of finance and security.Therefore,from the perspective of economy and practicability,image restoration technology based on big data has broad application prospects.However,complex data storage in big data environment is the key to data image restoration.How to build an efficient,safe and high-capacity database based on big data platform is the key issue to be considered in database establishment. In this paper, the establishment of image database is studied and discussed from the aspects of the structure of database,application purpose,data volume,access volume,security requirements and so on,in order to build the database based on a safe,reasonable and smooth database architecture and to achieve the optimal database architecture model. |
| Keywords: image recognition;image processing;big data;architecture |
