@InProceedings{CostaHumpTrai:2012:EfAlFr,
author = "Costa, Alceu Ferraz and Humpire-Mamani, Gabriel and Traina, Agma
Juci Machado",
affiliation = "University of S{\~a}o Paulo, USP, Department of Computer Science
and University of S{\~a}o Paulo, USP, Department of Computer
Science and University of S{\~a}o Paulo, USP, Department of
Computer Science",
title = "An Efficient Algorithm for Fractal Analysis of Textures",
booktitle = "Proceedings...",
year = "2012",
editor = "Freitas, Carla Maria Dal Sasso and Sarkar, Sudeep and Scopigno,
Roberto and Silva, Luciano",
organization = "Conference on Graphics, Patterns and Images, 25. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Fractal analysis, texture, feature extraction, content based image
retrieval, image classification, image processing.",
abstract = "In this paper we propose a new and efficient texture feature
extraction method: the Segmentation-based Fractal Texture
Analysis, or SFTA. The extraction algorithm consists in
decomposing the input image into a set of binary images from which
the fractal dimensions of the resulting regions are computed in
order to describe segmented texture patterns. The decomposition of
the input image is achieved by the Two-Threshold Binary
Decomposition (TTBD) algorithm, which we also propose in this
work. We evaluated SFTA for the tasks of content-based image
retrieval (CBIR) and image classification, comparing its
performance to that of other widely employed feature extraction
methods such as Haralick and Gabor filter banks. SFTA achieved
higher precision and accuracy for CBIR and image classification.
Additionally, SFTA was at least 3.7 times faster than Gabor and
1.6 times faster than Haralick with respect to feature extraction
time.",
conference-location = "Ouro Preto, MG, Brazil",
conference-year = "22-25 Aug. 2012",
doi = "10.1109/SIBGRAPI.2012.15",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2012.15",
language = "en",
ibi = "8JMKD3MGPBW34M/3C8EHNS",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3C8EHNS",
targetfile = "PID2438001.pdf",
urlaccessdate = "2024, Apr. 28"
}