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Retrieval method of color images based on quaternion Harmonic-Fourier moments

A color image and Fourier moment technology, applied in the field of image processing, can solve the problems of affecting the image retrieval effect, low efficiency of color feature or trait feature retrieval, time-consuming and manpower-consuming, etc., so as to avoid manual labeling process and improve retrieval Efficiency, the effect of simple design

Inactive Publication Date: 2015-04-08
LIAONING NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

This technology has the following two defects: firstly, due to the continuous expansion of the image database, it takes a lot of time and manpower to manually label each image in the database; Connotation, and the process of manually selecting keywords will contain strong subjectivity, which may cause deviations in image understanding and directly affect the retrieval effect of images
[0003] In image visual features, color and shape are the two most important features. However, the existing image feature extraction methods often deal with the two separately. There are many retrieval methods for color features, such as based on traditional histograms, color Correlogram, color matrix, spatial distribution method based on main color, etc.; contour-based and region-based retrieval methods for shape features, such as wavelet transform Gaussian distribution method, feature moment (Zernike moment, Legendre moment, etc.) method, etc., However, the retrieval efficiency of individual color features or trait features is low, which is far from meeting the requirements of image retrieval efficiency.

Method used

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  • Retrieval method of color images based on quaternion Harmonic-Fourier moments

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Embodiment Construction

[0034] Such as figure 1 Shown, method of the present invention carries out according to the following steps:

[0035] Step 1: Extend the circular harmonic-Fourier moment theory of the traditional grayscale image to the quaternion level, and further determine the quaternion circular harmonic-Fourier moment of the color image:

[0036] Step 11: Assumptions is a color image in the polar coordinate system, according to the definition of the circular harmonic-Fourier moment of the traditional grayscale image and the quaternion theory, the color image quaternion circular harmonic-Fourier moment of the following form can be defined:

[0037]

[0038] in, is a unit pure quaternion, , represents the radial basis function, and has ;

[0039] Step 12: In the polar coordinate system, use a finite number of quaternion circular harmonics-Fourier moments to approximately reconstruct the color image function ,assumed is the highest order of the reconstructed image, To reco...

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Abstract

The invention discloses a retrieval method of color images based on quaternion Harmonic-Fourier moments. The method includes expanding Harmonic-Fourier moments according to the principle that quaternions contain color information, expanding the Harmonic-Fourier moments to quaternion level, acquiring a new image-describing feature vector according to the character that the Harmonic-Fourier moments can describe shape features of images, and designing a new retrieval method of color images based on quaternion Harmonic-Fourier moments. Experimental results show that the system has such features that the system can effectively represent the colors and shape features of the images, the design is simple, implementing is easy, and image feature extraction needs no manual annotation; the manual annotation process tedious and error prone is avoided, and retrieval precision and efficiency is greatly improved.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a color image retrieval method based on quaternion circular harmonics-Fourier moments, which can effectively improve retrieval efficiency. Background technique [0002] Text-based image retrieval technology (TBIR) follows the traditional text retrieval technology. It does not consider the inherent color, texture, shape and other content characteristics of the image itself, but uses keywords to describe the image. Retrieve related images in the form of . This technology has the following two defects: firstly, due to the continuous expansion of the current image database, it takes a lot of time and manpower to manually label each image in the database; In addition, the process of manually selecting keywords will contain strong subjectivity, which may cause deviations in image understanding and directly affect the retrieval effect of images. In order to overcome the difficulties br...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/5838G06V10/40
Inventor 王向阳李威仪牛盼盼
Owner LIAONING NORMAL UNIVERSITY
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