Image retrieval method, device and system

Abstract

The invention discloses an image retrieval method comprising the following steps of: firstly, carrying out grey level transformation and noise reduction treatment on a scene image acquired by an image module to obtain a scene grey image; then, detecting a target object outline in the scene grey image; and finally, updating the target grey image or the feature description of the target grey image in the target object outline to an image retrieval server end for image retrieval. Correspondingly, the invention also discloses an image retrieval device, a mobile terminal and an image retrieval system. Before image retrieval, a target object is extracted precisely through outline detection, so that the influence of an image background to an image retrieval result is effectively reduced, and the retrieval precision is improved.

Description

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AI Technical Summary

Benefits of technology

This technology improves on traditional methods for searching images from documents stored remotely over networks like LAN (local area Network). It does this through capturing scenes containing specific objects that are important parts of an image without affecting any other details about them. By doing these things, it becomes easier than just looking at each pixel separately instead of trying everything together.

Problems solved by technology

Technically speaking, there exist technical problem addressed when searching through videos captured at an arbitrary location due to factors like limitations associated with keyword recognition and lack of objective description about what happened during this process.

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