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Image feature matching method used for image retrieval

An image feature and image retrieval technology, applied in the computer field, can solve the problems of low matching speed, difficult image feature selection, and low accuracy, and achieve the effect of reducing feature dimension, improving matching rate, and increasing accuracy.

Active Publication Date: 2018-07-10
南京烽火天地通信科技有限公司
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide an image feature matching method for image retrieval, which solves the problems of difficult image feature selection, low matching speed and low accuracy in the existing image feature matching technology

Method used

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  • Image feature matching method used for image retrieval

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Embodiment Construction

[0032] Such as figure 1 A kind of image characteristic matching method that is used for image retrieval shown, comprises the following steps:

[0033] Step 1: set up the image storage platform of the Hadoop framework, store a large amount of images in HDFS in the image storage platform of the Hadoop framework, and carry out image feature distribution analysis on the massive images by MapReduce in the image storage platform of the Hadoop framework and calculate;

[0034] Step 2: The image feature distribution analysis performed by MapReduce on the massive images includes image direction distribution features, image length and width distribution features, image internal structure comparison features, and image four-block grayscale features; MapReduce generates each image Orientation features, length and width features, internal structure comparison features, and four-block grayscale features, and finally use a 7-dimensional feature vector to express the features of the image; ...

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Abstract

The invention discloses an image feature matching method used for image retrieval, and belongs to the technical field of computers. By using the image feature matching method, an image is described from different types of four features including an image direction distribution feature, an image length distribution feature, image internal structure comparison feature distribution statistics and animage four-block gray feature; and finally image feature matching is performed by using a 7-dimensional eigenvector expression image feature. An algorithm solves the problems of large calculation amount, low efficiency and low accuracy of image matching in the prior art, greatly improves the image retrieval speed and performance, makes up for the limitation of a single feature, and can improve thematching accuracy.

Description

technical field [0001] The invention belongs to the field of computer technology. Background technique [0002] In computer vision target recognition, image matching can find images that match the model in the image to be recognized, and is widely used in image retrieval (such as image recognition, text recognition, target recognition, and image search). Through the analysis of the similarity and consistency of the image content, features, structure, texture and grayscale, to find images similar to the features of the image to be queried, the purpose is to find one or more images in the transformation space. Transformation that makes two or more images of the same scene from different times, different sensors, or different viewpoints spatially consistent. Image matching technology is an important technology in computer vision and image analysis and processing. It can complete the process of human visual cognition and understanding with modern information technology and comp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/46
CPCG06F16/5838G06V10/422G06V10/50
Inventor 王康李峰岳李倩玉王运侠刘宇
Owner 南京烽火天地通信科技有限公司
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