HTS: A new shape descriptor based on Hough Transform

Trabalho apresentado em evento

Fecha

2013-09-09

Registro en:

Proceedings - IEEE International Symposium on Circuits and Systems, p. 974-977.

0271-4310

http://hdl.handle.net/11449/76536

10.1109/ISCAS.2013.6572011

WOS:000332006801056

2-s2.0-84883413426

6027713750942689

http://repositorioslatinoamericanos.uchile.cl/handle/2250/3925420

Autor

Universidade Estadual Paulista (Unesp)

Institución

Universidade Paulista Júlio de Mesquita Filho (Brasil)

Resumen

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. © 2013 IEEE.

Materias

Content based image retrieval

Mostrar el registro completo del ítem