Image Retrieval Method, A Distribution Based On Regional Chord

Image is the form and the carrier of the visual information.The image source become more extensive along with the rapid development in multimedia technologies , computer science, communication engineering and Internet, in order to organize , describe, store , query and employ these vast image data, image database is one of main tools.The one core problem about image database is the technology of image retrieval, currently, the research of the content-based image retrieval have become one hot spot throughout the world.In this paper,we propose the chord-distribution-based image description ,and research the image retrieval algorithm based on this description.The main work of the paper consists of two part that are the feature description about image and the algorithm of image retrieval.In the first part,we propose the definition of region-chord, the presentation of chord-distribution, and describle image after analyzing the properties of chord-distribution.In the second part,after partitioning image and counting region-chord-distribution,we analyse the forground and background of image to each region and propose the criterion of the similarity of images. Lastly,through experimenting and analyzing the results, it proved that our scheme be effective.To our approach,It be revelatory to color-based image retrieval and be valuable in the application.