HTS: A new shape descriptor based on Hough Transform
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Data
2013-09-09
Autores
De Souza, Gustavo Botelho [UNESP]
Marana, Aparecido Nilceu [UNESP]
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Resumo
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.
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Content based image retrieval, Digital image, Large database, Linear complexity, Shape analysis, Shape description, Shape descriptors, Transform statistics, Hough transforms
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Proceedings - IEEE International Symposium on Circuits and Systems, p. 974-977.