With the continuous expansion of the application field of image information processing, the research on how to effectively organize image databases has become more and more in-depth. This paper introduces an image-oriented information management system that integrates image processing, hotspot query and database. The system is based on BLOB, adopts an expanded relational database model and introduces image database technology. It uses multiple small image data tables and image data index tables to solve the problems of image data entry and retrieval and image hotspot operation in the system. The results show that the BLOB-based image query system not only ensures the security of the system and the integrity of the data, but also meets the speed and efficiency required by the system. It is an effective method for processing and using image data in the database system.
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