Method and apparatus for extracting image features

A technology of image features and extraction methods, which is applied in the field of image processing, can solve the problems of unable to extract features and take a long time to extract, and achieve the effect of high extraction efficiency and long extraction time
CN105095902AActive Publication Date: 2015-11-25HUAWEI TECH CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
HUAWEI TECH CO LTD
Publication Date
2015-11-25

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Abstract

Embodiments of the present invention provide a method and an apparatus for extracting image features. The method for extracting image features comprises the steps of: acquiring a plurality of cluster centers from an image data set to be classified to serve as low-level feature extractors by using a clustering algorithm; performing convolution for each image in the image data set by using the plurality of low-level feature extractors, and generating a plurality of convolution images for each image, wherein the number of the convolution images is the same as the number of the low-level feature extractors; respectively performing threshold processing for the plurality of convolution images to obtain a plurality of sparse images; performing low-level feature integration for the plurality of sparse images to obtain a plurality of integrated images; and performing middle-level feature extraction for the plurality of integrated images to obtain middle-level features. The method in the embodiments of the present invention can adaptively extract image features and can achieve high extraction efficiency.
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Description

technical field

[0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to a method and device for extracting image features. Background technique

[0002] With the development of multimedia technology and the popularization of the Internet, it is easier and easier for people to obtain various multimedia information, among which pictures are the most numerous. Needing pictures has become a growing concern. Classifying pictures will inevitably extract features from the pictures.

[0003] In the prior art, image-based classification techniques usually construct a layered feature extraction framework, that is, a Spatial Pyramid Matching / Model (Spatial Pyramid Matching / Model, SPM for short) method. SPM methods usually employ a well-defined low-level feature, such as a scale-invariant feature transform (SIFT) feature. This low-level feature is used to count edge direction information in small regions of the image. Ther...

Claims

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