Title :
Local fractallity as a feature in database image retrieval
Author :
Crisan, Daniela Alexandra ; Coculescu, Cristina ; Stanica, Justina Lavinia ; Samuel, Adam Nelu Altar
Author_Institution :
Fac. of Comput. Sci. for Bus. Manage., Romanian-American Univ., Bucharest, Romania
Abstract :
An important aspect encountered in archaeological field consists in the identification of the broken pieces part of an object. A preliminary analysis presupposes the grouping of the articles by material, but this is not enough. A second analysis will be done, this time considering the shape of the frontier of the broken piece. In order to describe the shape of an object´s border, the evaluation of some local fractal features is proposed. The algorithms for extracting fractal features were implemented into an original software. The final purpose consists in building a component for a content-based image retrieval (CBIR) which uses a classifier based on fractal properties.
Keywords :
archaeology; content-based retrieval; feature extraction; fractals; image classification; image retrieval; visual databases; CBIR; archaeological field; classifier; content-based image retrieval; database image retrieval; fractal feature extraction; local fractallity; object border shape; Content based retrieval; Feature extraction; Fractals; Geometry; Image analysis; Image databases; Image retrieval; Information retrieval; Shape; Spatial databases; content-based image retrieval; fractal dimension; image processing; image retrieval; local fractallity;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234839
