Title :
Edge detection techniques in image retrieval: the semantic meaning of edge
Author :
Amato, Alberto ; Lecce, Vincenzo Di
Author_Institution :
Eng. Fac., Politecnico di Bari, Taranto, Italy
Abstract :
The identification of features suitable in content based image retrieval is of interest for many researchers. It is well known that the shape is one of the most used features in this field. In this paper a syntactic approach (edge representation based on 4+1 symbols) is used to validate same edge detector. The results show that not all the tested algorithms offer comparable results in terms retrieval effectiveness.
Keywords :
content-based retrieval; edge detection; image retrieval; content based image retrieval; edge detection technique; edge detector; edge representation; syntactic pattern generation; Data mining; Detectors; Humans; Image edge detection; Image processing; Image recognition; Image retrieval; Object recognition; Shape; Visual system;
Conference_Titel :
Video/Image Processing and Multimedia Communications, 2003. 4th EURASIP Conference focused on
Print_ISBN :
953-184-054-7
DOI :
10.1109/VIPMC.2003.1220453
