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Image processing method and device, electronic equipment and storage medium

An image processing and image technology, applied in the field of computer vision, can solve the problems of poor category description ability, ignoring category structure information, limiting feature expression ability, etc., to achieve the effect of improving description ability, improving discrimination ability, and enhancing discrimination ability

Active Publication Date: 2020-02-11
SHENZHEN SENSETIME TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In related technologies, image features can be extracted and clustered, but this clustering method only clusters according to the similarity between samples, does not consider the structural information of the category, and has poor description ability for the category
Moreover, the features obtained from a single image do not have the features of other similar images, so that the information that can be expressed by a single feature is less, which can limit the feature expression ability

Method used

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  • Image processing method and device, electronic equipment and storage medium
  • Image processing method and device, electronic equipment and storage medium
  • Image processing method and device, electronic equipment and storage medium

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Embodiment Construction

[0059]Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0060] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0061] The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the term "at least one" herein means...

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Abstract

The invention relates to an image processing method and a device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the feature extraction of a plurality of reference images, and obtaining first features corresponding to the plurality of reference images; performing feature fusion on each first feature and the neighbor feature of each first feature to obtain a second feature corresponding to each first feature; and performing clustering processing on the second feature to obtain a class center feature of at least one class of the second feature. According to the image processing method provided by the embodiment of the invention, the second feature can be obtained by performing feature fusion on the first feature and the neighbor feature of the reference image, so that the second feature contains the structural information of the same kind of feature information in the neighborhood of the feature space, the description capability of the secondfeature for the category is improved, and the judgment capability for the sample category in clustering processing is enhanced.

Description

technical field [0001] The present disclosure relates to the technical field of computer vision, and in particular to an image processing method and device, electronic equipment, and a storage medium. Background technique [0002] Clustering can bring together multiple samples belonging to the same category. For example, in the image library, images belonging to the same person can be clustered together, so as to distinguish images of different people for easy viewing. In the field of security , Clustering also has very important applications, such as one file per person, real population management, etc. In related technologies, image features can be extracted and the features can be clustered, but this clustering method only clusters according to the similarity between samples, without considering the structural information of the category, and has poor description ability for the category. Moreover, the features obtained from a single image do not have the features of oth...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23G06F18/253
Inventor 徐静陈大鹏赵瑞
Owner SHENZHEN SENSETIME TECH CO LTD