CAJ | 학술논문

基于图像底层特征的检索技术主要利用图像形状、纹理和颜色特征.不同的图像,不同的用途一般需要针对不同的特征来选取检索方法,为此我们考虑先从图像本身的特征分析,寻找出该图像的较为明显的特征,然后根据这一分析结果,再利用合适的特征检索方法去检索该图像,使得图像检索更接近于智能化.文章简述了颜色直方图和纹理的累计游程直方图算法,提出了形状方向能量直方图算法,并特别说明图像特征的智能选取方法.基于内容的智能图象检索系统(Intelligent Query By Image Content System 简称 IQBIC)利用该思想,实验表明该智能检索方法效果良好.
기우도상저층특정적검색기술주요이용도상형상、문리화안색특정.불동적도상,불동적용도일반수요침대불동적특정래선취검색방법,위차아문고필선종도상본신적특정분석,심조출해도상적교위명현적특정,연후근거저일분석결과,재이용합괄적특정검색방법거검색해도상,사득도상검색경접근우지능화.문장간술료안색직방도화문리적루계유정직방도산법,제출료형상방향능량직방도산법,병특별설명도상특정적지능선취방법.기우내용적지능도상검색계통(Intelligent Query By Image Content System 간칭 IQBIC)이용해사상,실험표명해지능검색방법효과량호.
@@@@There are mainly three methods in Image Retrieval Based on Content, i.e., retrieval technics based on shape, texture and colour features. Different images and uses require selection of retrieval methods through different featuers. Therefore, in this paper, we first analyze the features of the image itself, trying to find its most obvious features, and then, according to the analysis results, apply suitable Retrieval Method Based on Feature to retrieving this image to make the Image Retrieval Technic more intelligent and thus to get better effects. This paper puts forward calculation methods of Colour Histogram, Shape and Dierction Energy Histogram and Cumulative Run-Length Histogram, then briefly describes the Intelligent Selection Method Based on Image Feature, and states that the final result of the test is satisfying.