CAJ | 학술논문

基于图像颜色、纹理和形状单一特征的特征提取和匹配的方法很多，各有优缺点，因此，本文提出了将图像中心区域的 uniform 模式的 LBP 纹理与环形分块彩色边缘相结合的图像检索算法。常用的形状检索算法只能对连续封闭曲线才有好的检索效果，而对自然彩色图像检索效果较差，而本文将图像分成几个环形分块，对每一环形分块内的图像提取彩色边缘并形成颜色直方图用于图像形状描述。纹理采用 uniform 模式的 LBP 描述，最后采用加权法融合形状特征和纹理特征。根据实验比较，该算法能较大提高大多数类别图像检索的查准率。
기우도상안색、문리화형상단일특정적특정제취화필배적방법흔다，각유우결점，인차，본문제출료장도상중심구역적 uniform 모식적 LBP 문리여배형분괴채색변연상결합적도상검색산법。상용적형상검색산법지능대련속봉폐곡선재유호적검색효과，이대자연채색도상검색효과교차，이본문장도상분성궤개배형분괴，대매일배형분괴내적도상제취채색변연병형성안색직방도용우도상형상묘술。문리채용 uniform 모식적 LBP 묘술，최후채용가권법융합형상특정화문리특정。근거실험비교，해산법능교대제고대다수유별도상검색적사준솔。
Feature extraction and matching method based on single feature such as image color, texture and shape are many, each has advantage but also has some shortcomings, thus puts forward the uniform model of the central region of the image of LBP texture combined with a circular block color edge of image retrieval algorithm. The shape of the commonly used retrieval algorithm can only has a good retrieval effect of continuous closed curve, and the natural color image retrieval effect is poorer. This article sepa-rates the image into several annular blocks, and then uses form of color histogram to image the shape description for each ring image edge extraction of color, and uses the uniform model of LBP to describe texture. Finally, shape features and texture features are in-corporated by using weighted method. According to the experimental comparison, our method can improve greatly and most of the cat-egories of the image retrieval precision.