Feature Extraction Using Fractal Codes
Fast and successful searching for an object in a multimedia database is a highly desirable functionality. Several approaches to content based retrieval for multimedia databases can be found in the literature [9,10,12,14,17]. The approach we consider is feature extraction. A feature can be seen as a way to present simple information like the texture, color and spatial information of an image, or the pitch, frequency of a sound etc. In this paper we present a method for feature extraction on texture and spatial similarity, using fractal coding techniques. Our method is based upon the observation that the coefficients describing the fractal code of an image, contain very useful information about the structural content of the image. We apply simple statistics on information produced by fractal image coding. The statistics reveal features and require a small amount of storage. Several invariances are a consequence of the used methods: size, global contrast, orientation.
|Keywords||Feature extraction, spatial similarity, fractal codes, image retrieval|
|Series||Lecture Notes in Computer Science|
Schouten, B.A.M, & de Zeeuw, P.M. (1999). Feature Extraction Using Fractal Codes. In Visual Information and Information Systems (pp. 483–492). Springer.