title: An image retrieval system based on fractal dimension.
abstract: This paper presents a new kind of image retrieval system which obtains the feature vectors of images by estimating their fractal dimension; and at the same time establishes a tree-structure image database. After preprocessing and feature extracting, a given image is matched with the standard images in the image database using a hierarchical method of image indexing.
authors.affiliation: College of Computer Science, Zhejiang University, Hangzhou 310027, China. myao@zju.edu.cn
authors.forename: Min
authors.initials: M
authors.lastname: Yao
authors.forename: Wen-Sheng
authors.initials: WS
authors.lastname: Yi
authors.forename: Bin
authors.initials: B
authors.lastname: Shen
authors.forename: Hong-Hua
authors.initials: HH
authors.lastname: Dai
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D000465:Algorithms; D016000:Cluster Analysis; D003628:Database Management Systems; D016208:Databases, Factual; D017709:Fractals; D007090:Image Interpretation, Computer-Assisted; D016247:Information Storage and Retrieval / Q000379:methods*; D016347:Medical Records Systems, Computerized; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface