CAJ | 학술논문

图像检索是信息挖掘领域的重要方法，针对单一特征图像检索方法鲁棒性不足的问题，文章提出了一种基于组合特征检索策略的图像检索方法。首先，求取空间颜色直方图特征、局部二值阵列特征、基于轮廓的Hu矩特征，分别作为颜色特征、纹理特征、形状特征的表达；再对3种特征分别配置相应的权重，进而形成组合检索特征。实验结果表明，基于组合特征检索策略的图像检索方法明显提高了检索性能，并且具备较好的灵活性。
도상검색시신식알굴영역적중요방법，침대단일특정도상검색방법로봉성불족적문제，문장제출료일충기우조합특정검색책략적도상검색방법。수선，구취공간안색직방도특정、국부이치진렬특정、기우륜곽적Hu구특정，분별작위안색특정、문리특정、형상특정적표체；재대3충특정분별배치상응적권중，진이형성조합검색특정。실험결과표명，기우조합특정검색책략적도상검색방법명현제고료검색성능，병차구비교호적령활성。
Image retrieval is an important method of information mining .Aiming at the problem of the lack of the robustness in retrieval methods based on single feature ,a new image retrieval method based on combined feature retrieval strategy is proposed .The spatial color histogram ,local binary array and contour based Hu moment are computed first as color feature ,texture feature and shape feature respec-tively .Then the combined retrieval feature is produced by arranging different weights to the three fea-tures .The experimental results show that the retrieval method based on combined feature retrieval strategy has better retrieval performance and good flexibility .