Image clustering method, device and equipment and computer storage medium

Abstract

The invention provides an image clustering method, device and equipment and a computer storage medium. The method comprises the steps: selecting a target cover image from all recorded cover images corresponding to a target object based on the feature parameter values of a captured image; wherein the deviation between the feature parameter value of the target cover image and the feature parameter value of the snapshot image meets a preset deviation condition; determining the similarity between the snapshot image and the target cover image; If the similarity between the snapshot image and the target cover image is greater than a cover similarity threshold, clustering the snapshot image into a snapshot image corresponding to the target object. According to the technical scheme, the accuracy of image clustering is improved, and image clustering result errors are effectively avoided.

Description

technical field

[0001] The present application relates to the technical field of image processing, in particular to an image clustering method, device, equipment and computer storage medium. Background technique

[0002] Image clustering refers to identifying the image of the target object and setting the same label for multiple images of the target object, which serves as the unique identifier of the target object. Multiple images of the target object, structural information of the target object, longitude and latitude information of the target object, etc. are obtained through the unique identification. If the target object is deployed and controlled, the real-time position and walking trajectory of the target object can be queried through image clustering.

[0003] In order to implement image clustering, the similarity between the captured image and the stored image of the target object can be determined. If the similarity is greater than the similarity threshold, it is...

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