基于内容的网络图像信息搜索（Content based network image information search）.doc

基于内容的网络图像信息搜索（Content based network image information search） Network information content of the image search based on.Txt not to spend money on the ideal setting for a couple in love,. Leaves the leaves, because the pursuit of the wind, or the tree does not retain? Kill the panda. Im the national treasure! Dont talk to me about ideals, quit! Content based network image information search Author: Lai Qing Abstract: there are more and more image information on the Internet. Better retrieval technology is needed to retrieve the information accurately and efficiently. This paper introduces the network information content of the image retrieval technology based on standardization technology principle, method and image detail information of image information retrieval, finally pointed out the shortcomings and development trend of network image information retrieval technology. Keywords: image information; retrieval; content CBIR (Content-Based Image Retrieval), a content-based image information search method, is a hotspot in the research of image information search. This method can avoid many shortcomings of text based methods. For example, it directly faces the image feature itself, and does not need manual tagging, so it can avoid the subjectivity of manual description and reduce the workload greatly. First, content based image information search principle Content based retrieval refers to the retrieval of a variety of image features directly using the image. These image features refer to the original features of the image, the original attributes. In essence, CBIR is a combination of computer vision, image processing, image understanding, and database technology. Image features commonly used in content retrieval include image color, texture, shape, image edge features, and semantic features. Among them, the color, texture, shape, and image edge features are based on the human visual principle: the semantic feature is based on the description of the image content in th