CAJ | 학술논문

提出了一种基于稳定兴趣点和纹理特征的图像检索算法。该算法首先利用优化的 Hessian检测器检测图像中的稳定兴趣点，并计算稳定兴趣点的环形邻域的伪泽尼克矩；然后，利用 Gabor 小波变换提取图像的纹理特征；最后，用不同图像伪泽尼克矩和纹理之间的差异来衡量图像的相似度，实现图像检索。实验结果表明，与其他基于兴趣点或者纹理特征的检索方法相比，该算法能够降低不稳定兴趣点的影响，有效提高了图像检索的准确率和查全率。
제출료일충기우은정흥취점화문리특정적도상검색산법。해산법수선이용우화적 Hessian검측기검측도상중적은정흥취점，병계산은정흥취점적배형린역적위택니극구；연후，이용 Gabor 소파변환제취도상적문리특정；최후，용불동도상위택니극구화문리지간적차이래형량도상적상사도，실현도상검색。실험결과표명，여기타기우흥취점혹자문리특정적검색방법상비，해산법능구강저불은정흥취점적영향，유효제고료도상검색적준학솔화사전솔。
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.