De Souza, Gustavo Botelho [UNESP]Marana, Aparecido Nilceu [UNESP]2014-05-272014-05-272013-09-09Proceedings - IEEE International Symposium on Circuits and Systems, p. 974-977.0271-4310http://hdl.handle.net/11449/76536In 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.974-977engContent based image retrievalDigital imageLarge databaseLinear complexityShape analysisShape descriptionShape descriptorsTransform statisticsHough transformsTrabalho apresentado em evento10.1109/ISCAS.2013.6572011WOS:000332006801056Acesso aberto2-s2.0-848834134266027713750942689