Multi-feature fusion image retrieval method

A multi-feature fusion and image retrieval technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as information loss and affecting the accuracy of retrieval results

Active Publication Date: 2015-12-09
FUJIAN YOUTONG INDS
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AI Technical Summary

Problems solved by technology

However, in the process of image feature extraction and image expression based on Bag-of-features, there is a large amount of information loss, which affects the accuracy of retrieval results.

Method used

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Embodiment Construction

[0073] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0074] It should be understood that terms such as "having", "comprising" and "including" as used herein do not entail the presence or addition of one or more other elements or combinations thereof.

[0075] Such as figure 1 As shown, the present invention provides a kind of image retrieval method of multi-feature fusion, comprising:

[0076] Step 1, input the image I to be retrieved;

[0077] Step 2, dividing the image I into a plurality of local areas, constructing a color feature vector representing the color feature of each local area and a SIFT feature vector of a scale-space invariant characteristic;

[0078] Step 3, perform step 2 on each image in the query gallery, and perform clustering to obtain the color feature dictionary and SIFT feature dictionary, use the comb...

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Abstract

The invention discloses a multi-feature fusion image retrieval method. The method comprises the steps of firstly, inputting an image I to be retrieved; secondly, constructing a color feature vector and a SIFT feature vector of the image I; thirdly, training the image in a query image library to obtain a color feature dictionary and a SIFI feature dictionary, and using a visual word for representing the image in the image library; fourthly, using the visual word for representing the image I, calling a candidate image set Q from the query image library according to the visual word, and calculating a similarity value score (Q,I); fifthly, selecting a local area Si with the visual saliency in the image I and repeatedly executing the step three and the step four to obtain a candidate image set K, and calculating a similarity value score<sal>(K,I); sixthly, using an overlapped image set of the two candidate fusion sets as D, fusing score<sal>(D,I) and score (D,I), and calculating a final similarity value score<*>(D,I); seventhly, using the image with the highest final similarity value as a retrieval result of the image I to be retrieved. The multi-feature fusion image retrieval method has the advantages of lowering image noise and improving the retrieval accuracy.

Description

technical field [0001] The present invention relates to an image retrieval method, more specifically, the present invention relates to a multi-feature fusion image retrieval method. Background technique [0002] Today's society has entered the era of big data dominated by multimedia data, among which digital image data is the most prominent. Compared with other multimedia data, image data has richer content and more intuitive expression, and has become the most important form of information sharing in people's daily life. In the face of increasing image data, how to effectively mine the large amount of information contained in the image data, so as to quickly and accurately find the images that users really need in large-scale image databases, has gradually developed into computer vision, multimedia information retrieval and other related fields. main research topics. [0003] Image feature extraction and image similarity measurement are two key steps in image retrieval te...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/583G06F16/5838
Inventor 段立娟董帅赵则明崔嵩马伟杨震
Owner FUJIAN YOUTONG INDS
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