Image feature storing method, image searching method and device based on compressive sensing

A technology of compressed sensing and image features, which is applied in the fields of information and communication, can solve the problems of time loss in the candidate stage and the impact of reconstruction accuracy, etc., and achieve the effect of small storage capacity and improved speed and accuracy

Active Publication Date: 2014-06-25
广东宜教通教育有限公司
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Problems solved by technology

Since the size of each pre-selected set in the pre-selection stage of the algorithm is I, as the increase of I will cause a lot of time

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  • Image feature storing method, image searching method and device based on compressive sensing
  • Image feature storing method, image searching method and device based on compressive sensing
  • Image feature storing method, image searching method and device based on compressive sensing

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[0052] The present invention will be further explained below in conjunction with the drawings:

[0053] See figure 1 , figure 1 It is a flowchart of an embodiment of the image feature storage method of the present invention. in figure 1 In the illustrated embodiment, the image feature storage method includes:

[0054] Step S101: Divide the image to be processed into several sub-blocks;

[0055] Step S102: Combine several image features of the sub-blocks to form the original signal of the image;

[0056] Step S103: After the original signal is sparsely changed and projected to the same measurement matrix in sequence, the block observation value corresponding to the original signal is obtained and stored.

[0057] Among them, in some preferred embodiments, the image features include color features and texture features.

[0058] The process and principle of the feature storage method are discussed in detail below:

[0059] Existing compressed sensing methods generally measure the entire ima...

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Abstract

The invention relates to an image feature storing method, an image searching method and device based on compressive sensing. The image feature storing method includes the steps that an image to be processed is segmented into a plurality of subblocks; a plurality of image features of the subblocks are combined to form original signals of the images; the original signals are sequentially changed sparsely and projected to the same measurement matrix to obtain subblock measured values corresponding to the original signals. The image features are stored by using a subblock compressive sensing measuring method, needed storage quantity is small, and the storage can be achieved rapidly. On the other hand, difference between the image measured values and measured values of images to be searched for is used for sparsity judgement, so that people do not need to recover the original signals accurately and only need to extimate the sparsity of the difference, and image searching speed and accuracy are effectively improved.

Description

technical field [0001] The invention belongs to the technical fields of communication and information, and in particular relates to an image storage method, image retrieval method and device based on compressed sensing. Background technique [0002] With the rapid development and application of information technology, multimedia data, especially image data, has grown rapidly. How to quickly and effectively retrieve the required images from large-scale image databases has become a very important research topic in the field of retrieval. Content-based Image Retrieval (CBIR) is currently the most active technology in the field of image retrieval. The core issues of content-based image retrieval technology are content feature extraction technology and content similarity measurement technology. These two issues are widely studied hot issues and are also one of the most challenging problems. [0003] Through the study of relevant literature, it is found that many current CBIR met...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/51G06F16/5838
Inventor 周燕曾凡智
Owner 广东宜教通教育有限公司
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