Image classification method and device and computing equipment

A classification method and computing equipment technology, applied in the field of image processing, can solve problems such as increasing the burden of use and reducing user experience, and achieve the effects of increasing accuracy, improving clustering effects, and alleviating the sensitivity of neighborhood radius values

Inactive Publication Date: 2017-03-15
XIAMEN MEITUZHIJIA TECH
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Problems solved by technology

These methods increase the burden on users and reduce the user experience

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  • Image classification method and device and computing equipment
  • Image classification method and device and computing equipment
  • Image classification method and device and computing equipment

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Embodiment Construction

[0033]Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0034] figure 2 A block diagram of a computing device 100 according to one embodiment of the present invention is shown. Computing device 100 may be a cell phone, tablet computer, personal digital assistant (PDA), personal media player device, wireless web browsing device, device-specific device, or a hybrid device including any of the above. A computing device may also be a desktop computer, laptop computer, server, workstation, ...

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Abstract

The invention discloses an image classification method which is performed in computing equipment and suitable for classifying images according to the faces in the images. The method comprises the steps that multiple images to be classified are acquired; the face in each image is recognized, and each face is corresponding to one face feature vector; the face feature vectors are clustered by using a DBSCAN algorithm based on a first neighborhood radius so that a first clustering result is obtained; the class clusters in the first clustering result are combined according to a second neighborhood radius so that a second clustering result is obtained, wherein the second neighborhood radius is greater than the first neighborhood radius; if the second clustering result includes outliers, the outliers are classified according to a third neighborhood radius so that a third clustering result is obtained, wherein the third neighborhood radius is greater than the first neighborhood radius; and the multiple images to be classified are classified according to the third clustering result. The invention also discloses an image classification application capable of implementing the method and the computing equipment comprising the image classification application.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image classification method, device and computing equipment. Background technique [0002] The rapid development of digital devices has greatly changed people's lives. Taking photos has become more and more convenient, and correspondingly, more and more photos are stored. How to efficiently manage photos has become a real problem. For example, when there are a lot of photos stored, the user needs to classify the photos according to the faces appearing in the photos, that is, group photos of the same person into the same category for easy management. [0003] The classification of photos can be realized by clustering algorithm. However, classic unsupervised clustering algorithms (such as kmeans) often need to manually specify the number of clusters and the initial value of the cluster center, which is not applicable in the application scenario of automatic cl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/172G06F18/23G06F18/2411
Inventor 陈良曾志勇张伟许清泉
Owner XIAMEN MEITUZHIJIA TECH
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