结合稳定兴趣点和Gabor小波的图像检索

doi:10.3969/j.issn.1001-2400.2014.05.020

Abstract

Abstract:

A new image retrieval method based on stable interest points and texture feature is proposed. Firstly, the optimal Hessian derivative filter is used to detect the stable interest points in the image. After that, pseudo-Zernike moments defined on the neighborhood of stable interest points in the annular region are calculated. Then, the texture feature is extracted by the Gabor wavelet transform. Finally, the difference in pseudo-Zernike moment and texture feature among images is used to depict image similarity. Experimental results show that this method reduces the effects of the unstable points and improves the image retrieval accuracy effectively comparied with other retrieval methods based on interest points.

Key words: image retrieval, interest points, Hessian detector, Gabor wavelet transform, texture feature

CLC Number:

TP391.4

YAN Yunyi;JIANG Shuai;GUO Baolong. Image retrieval using stable interest points and Gabor wavelet[J].J4, 2014, 41(5): 118-123.

References

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Image retrieval using stable interest points and Gabor wavelet

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