Image clustering method, device and equipment and computer storage medium

An image clustering and image technology, which is applied in the field of image processing, can solve problems such as small similarity and error in image clustering analysis results, and achieve the effect of accurate similarity results, improving accuracy, and avoiding errors

Pending Publication Date: 2020-12-01
HANGZHOU HIKVISION SYST TECH
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the stored image is not the left face image and the captured image is close to the left face image, the similarity may not be greater than the similarity ...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image clustering method, device and equipment and computer storage medium
  • Image clustering method, device and equipment and computer storage medium
  • Image clustering method, device and equipment and computer storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, rather than limiting the present application. As used in this application and the claims, the singular forms "a", "the" and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein is meant to include any and all possible combinations of one or more of the associated listed items.

[0026] It should be understood that although the embodiments of the present application may use terms such as first, second, and third to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of the present application, first information may also be called second information, and similarly, second ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62G06K9/00
CPCG06V40/172G06F18/23G06F18/22
Inventor 齐方鹏崔志强许佳麒
Owner HANGZHOU HIKVISION SYST TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products