.NET环境下基于图像内容智能检索的研究

计算机信息技术的发展,图像数据的无序激增,人们面临如何在大量的图像中查找有用信息的问题,于是图像检索技术成为研究热点.而目前的图像检索技术主要有基于关键字查询和基于图像内容查询两种方式,他们都存在或多或少的缺点,不是过于主观就是过于客观,不能很好的满足人们的需求.为了弥补他们的缺点,更好的解决图像检索问题,提出了一种基于内容的图像智能检索方案,在基于内容的图像检索的基础上结合人工智能的推理机制,利用智能推理的优势来改善检索效果,实践证明文中所述的方法是有效的.

Content-based intellectually image retrieval in. NET environment

Developing of the information technology of the computer and disordered proliferation of the image data has make people face a problem that how to search the useful information from a mass of image.Thus,the technology of querying images became the hotspot of the research.Currently there are mainly two kinds of means of image retrieval,by keyword or by content,but the two means existing defect more or less,either too subjective or too objective,can't meet people's need greatly.For make up the defect of those means and resolving the problem of image querying more better,we bring forward a scheme,querying imagesintellectually by content,basing on the technology of querying images by content combine with the deduce mechanism of the artificial intelligence.Take advantage of the superiority of intel-lectualized deduce to improve the effect of querying.The technique we bring forward has proved to be availability by practice.