The Research On The Key Technologies Of Content-Based Image Database Retrieval

With the rapid development of the Internet and digital equipments,the amount of multimedia information being produced, stored and spread is increased rapidly.Therefore, research on multimedia information management is attracting more and more attention. In this research area, image database system plays an important role because of its foundational status of video applications as well as its abroad employment in many important applications such as: multimedia information system, digital library, digital museum, medicine, geographical information database, movie industry, video on demand, common security and military defense. Currently,rapid and effective searching for desired images from large-scale image databases becomes an important and challenging research topic. Content-based image retrieval (CBIR) is the set of techniques to address the problem of retrieving relevant images from an image database based on automatically derived image features. In recent years,CBIR is a very active research direction.In this dissertation,lots of exploratory research work has been done around some key techniques of image feature extraction of CBIR, the low level visual features extraction of images have been studied systematically, which include color, shape, texture, color spatial distribution features and so on. The presented study is the current research focus of image processing and information retrieval. Thus, its research has both the theory and the application value.The main contributions of this dissertation are summarized as follows:1. Several key techniques and algorithms of CBIR are deeply analyzed and discussed,such as,color model, the low-level feature descriptions including color, shape, and texture,the similarity measure between the features,image database indexing methods and the evaluation methods of image retrieval algorithms. Moreover, by some experiments tested under the same conditions, we report the comparison results of many classical methods.2. An image retrieval approach based on salient interest points is proposed. This algorithm firstly uses an adaptive filter to process the image. Then, the popular way is adopted to detect the interest points. The extracted interest points are always located in the salient edges since the adaptive filter has the ability to smooth the details and enhance the salient edges of the image. Afterwards, an...