Title :
HTS: A new shape descriptor based on Hough Transform
Author :
Botelho de Souza, Gustavo ; Nilceu Marana, Aparecido
Author_Institution :
Dept. of Comput., UNESP - Univ. Estadual Paulista, Bauru, Brazil
Abstract :
In this paper we propose a novel method for shape analysis called HTS (Hough Transform Statistics), which uses statistics from Hough Transform space in order to characterize the shape of objects in digital images. Experimental results showed that the HTS descriptor is robust and presents better accuracy than some traditional shape description methods. Furthermore, HTS algorithm has linear complexity, which is an important requirement for content based image retrieval from large databases.
Keywords :
Hough transforms; image processing; image retrieval; Hough transform statistics; digital images; image retrieval; linear complexity; shape analysis; Databases; High-temperature superconductors; Histograms; Shape; Standards; Transforms; Vectors;
Conference_Titel :
Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-5760-9
DOI :
10.1109/ISCAS.2013.6572011
